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Overview and Recommendations
Background
- •Tobacco use is the leading preventable cause of death globally, responsible for over 480,000 US deaths annually. Cessation interventions are among the most cost-effective clinical preventive services, with the USPSTF issuing a Grade A recommendation for universal screening and intervention.
- •Nicotine dependence is driven by dopamine release in the mesolimbic pathway, reinforced by psychosocial factors such as stress coping and social bonding. This creates a self-reinforcing cycle that heightens cravings for other substances and complicates sustained abstinence.
- •The three main intervention categories are behavioral counseling (individual, group, telephone quitline), pharmacotherapy (nicotine replacement therapy [NRT], varenicline, bupropion SR), and their combination. Combined therapy yields the highest abstinence rates, with a pooled relative risk of 1.83 compared to minimal support.
- •Certain populations bear a disproportionate burden: people with HIV are 2-3 times more likely to smoke, individuals with schizophrenia have a 10-year shorter life expectancy partly due to smoking, and low-SES smokers have lower quit rates. Tailored interventions are critical.
- •Evidence-based interventions include the 5A's framework (Ask, Advise, Assess, Assist, Arrange) and the Ottawa Model, which integrates hospital-initiated counseling, NRT, and telephone follow-up to reduce readmissions and mortality.
Evaluation
- •Suspect tobacco use disorder in any patient using any tobacco product. Screen universally at every clinical encounter with a single question: "Do you use any tobacco products?"
- •Ask about the type of tobacco (cigarettes, smokeless, e-cigarettes, hookah, cigars), quantity (cigarettes per day), duration of use, and time to first cigarette after waking, the single strongest indicator of nicotine dependence.
- •Inquire about past quit attempts: what methods were tried, why they failed, and how long abstinence lasted. Withdrawal symptoms (irritability, craving, anxiety, difficulty concentrating) typically begin within 24 hours of cessation.
- •Examine for physical signs of chronic tobacco use: tobacco odor, nicotine staining of fingers, chronic cough, and oral leukoplakia (especially with smokeless tobacco).
- •For patients with comorbid HIV, tuberculosis, or psychotic disorders, recognize that tobacco use is more prevalent and cessation is especially urgent due to higher mortality.
- •The gold-standard diagnostic assessment is the clinical interview using DSM-5 criteria for tobacco use disorder. For rapid quantification, use the Fagerström Test for Nicotine Dependence (FTND), a 6-item questionnaire scored 0-10; a score ≥6 indicates high dependence.
- •An alternative rapid screen is the Heaviness of Smoking Index (HSI), using time to first cigarette and cigarettes per day; a score ≥4 indicates high dependence.
- •Assess readiness to quit using the Readiness to Change Ruler (0-10) or the Stages of Change model. A score of ≥7 suggests the patient is ready to make a quit attempt within 30 days.
- •Biochemical verification (exhaled carbon monoxide <10 ppm or urine/serum cotinine) is not required for routine diagnosis but is useful in research, pregnancy, or when misreporting is suspected.
- •Apply the 5A's framework systematically: Ask about use, Advise to quit, Assess willingness, Assist with pharmacotherapy and counseling, and Arrange follow-up. National data show that 88% of smokers are asked but only 18% have follow-up arranged, the largest gap.
- •For patients with high dependence (FTND ≥6) or comorbid mental illness, plan for combination pharmacotherapy (e.g., NRT patch plus gum) and referral to intensive behavioral support.
Management
- •At every acute care encounter, deliver a brief intervention (≤3 minutes): advise the patient to quit, assess readiness, and offer assistance. Even 30 seconds of advice increases the likelihood of a quit attempt (NNT=6).
- •For nonpregnant adults ready to quit, initiate first-line pharmacotherapy: varenicline (start 0.5 mg daily for 3 days, then 0.5 mg BID for 4 days, then 1 mg BID for 12 weeks); bupropion SR (150 mg daily for 3 days, then 150 mg BID for 7-12 weeks); or NRT (patch, gum, lozenge, inhaler, or nasal spray per label).
- •For patients with high nicotine dependence (FTND ≥6), use combination NRT, a transdermal patch (e.g., 21 mg/24 hours) plus a short-acting form (gum 2-4 mg hourly or lozenge), to improve quit rates.
- •Combine pharmacotherapy with behavioral counseling: the pooled relative risk for combined therapy is 1.83 compared to minimal support, significantly better than either alone.
- •For low-SES smokers, implement proactive outreach with telephone counseling, free NRT for 6 weeks, and community referrals; this achieves a 17.8% quit rate versus 8.1% (NNT=10).
- •For patients with schizophrenia or serious mental illness, use a personalized intervention package (counseling plus pharmacotherapy) to achieve 28% abstinence at 6 months (NNT=6).
- •In adolescents (<20 years), group counseling is effective (RR 1.35); pharmacotherapy and individual counseling have insufficient evidence and should not be used as first-line.
- •In pregnant women, behavioral counseling is the first-line intervention; do not initiate pharmacotherapy due to insufficient evidence of benefit and unknown harms. Refer to specialized prenatal cessation support.
- •For perioperative patients, offer a cessation intervention at least 4 weeks before surgery to reduce postoperative complications; NNT=7 for abstinence at the time of surgery.
- •Extend pharmacotherapy beyond 12 weeks for patients at high risk of relapse; the USPSTF supports use up to 6 months.
- •Refer all patients to a state quitline (1-800-QUIT-NOW) for ongoing telephone counseling; this is accepted by >90% of patients and increases abstinence.
- •The Ottawa Model (hospital-initiated counseling, NRT, and telephone follow-up) reduces all-cause 30-day readmission (ARR 6.1%, NNT=17) and 1-year mortality (ARR 6.0%, NNT=17).
- •What NOT to do: do not rely solely on written materials; do not assume patients are uninterested; do not recommend e-cigarettes for cessation (insufficient evidence).
- •Monitor for adverse effects of pharmacotherapy: varenicline may cause nausea, insomnia, and rare neuropsychiatric events; bupropion may lower seizure threshold; NRT may cause local skin reactions or oral irritation.
- •For patients with multiple failed quit attempts or co-occurring substance use disorders, refer to a tobacco treatment specialist or addiction medicine program.
Board Review — High Yield
- •Fagerström Test for Nicotine Dependence (FTND), A 6-item score (0-10); ≥6 indicates high dependence requiring combination pharmacotherapy.
- •The 5A's, Ask, Advise, Assess, Assist, Arrange; only 18% of smokers receive the Arrange step.
- •Varenicline, Pooled RR 2.24 for abstinence at 6 months vs placebo; start 0.5 mg daily, titrate to 1 mg BID.
- •Proactive outreach, Telephone counseling + free NRT + community referrals yields NNT=10 in low-SES smokers.
- •Perioperative cessation, NNT=7 for abstinence at surgery, reducing postoperative complications.
- •Ottawa Model, Hospital-initiated counseling + NRT + follow-up reduces 30-day readmission (NNT=17) and 1-year mortality (NNT=17).
- •Pregnancy, Behavioral counseling is first-line; pharmacotherapy has insufficient evidence.
- •Adolescents, Group counseling effective (RR 1.35); pharmacotherapy not proven.
- •Schizophrenia, Personalized intervention package achieves 28% abstinence at 6 months (NNT=6).
- •Combined therapy, Pharmacotherapy + behavioral support: RR 1.83 vs minimal support.
Deep Dive — Evidence Details
Definition, Classification and Nomenclature
- ▸Tobacco cessation interventions are categorized into behavioral, pharmacologic, and combined approaches; combination therapy typically achieves the highest quit rates [2][4].
- ▸Systematic reviews demonstrate that even brief interventions by dental professionals increase abstinence rates, with an odds ratio of 1.71 [1].
- ▸Interventions are effective across diverse populations, including dental patients, young people, and those with substance use disorders, as supported by Cochrane reviews [2][3][4].
Tobacco cessation interventions are evidence-based practices designed to help individuals discontinue all forms of tobacco use, encompassing behavioral counseling, pharmacotherapy, and their combination, delivered across clinical and community settings.
Also Called: Smoking cessation interventions, tobacco treatment, tobacco dependence treatment, quit smoking programs, nicotine addiction treatment, tobacco use cessation.
Classification of Interventions
Tobacco cessation interventions are categorized by modality and intensity. The classification below reflects the three main evidence-based approaches, as supported by Cochrane systematic reviews [1]A1a[2]A1a[3]A1a[4]A1a[5]A1a.
| Intervention Type | Key Features | Examples |
|---|---|---|
| Behavioral | Counseling (individual, group, telephone, text), motivational interviewing, quitline support, contingency | Brief advice (3-5 minutes), intensive counseling (≥4 sessions), (NRT) behavioral support programs |
| Pharmacotherapy | FDA-approved medications that reduce withdrawal and cravings; includes NRT and non-NRT agents | , , NRT (patch, gum, lozenge, inhaler, nasal spray) |
| Combined Behavioral + Pharmacotherapy | Integration of counseling with medication for synergistic effect | Behavioral support plus NRT or varenicline; often delivered in specialized clinics or pharmacist-led programs [6]C4 |
These interventions are indicated for all tobacco users, including those who smoke cigarettes, use smokeless tobacco, or use other tobacco products. The choice of intervention depends on the individual's readiness to quit, preferences, and prior quit attempts, with combined therapy generally yielding the highest abstinence rates [2]A1a[4]A1a.
Clinical Significance
Tobacco use remains the leading preventable cause of death worldwide, and cessation interventions are among the most cost-effective preventive health services, significantly reducing the risk of tobacco-related morbidity and mortality. Systematic reviews demonstrate that even brief interventions by oral health professionals can increase abstinence rates by 71% (OR 1.71) [1]A1a, and behavioral support in dental settings yields a 1.86-fold increase in quit rates (RR 1.86, 95% CI 1.01 to 3.41) [2]A1a.
Understanding the neurobiological mechanisms underlying nicotine dependence provides the foundation for effective cessation interventions.
Pearl: Interventions are effective across diverse populations, including dental patients, young people, and those with substance use disorders, as supported by Cochrane reviews [2]A1a[3]A1a[4]A1a.
Pathophysiology and Mechanism
- ▸Tobacco use is sustained by a combination of nicotine addiction and psychosocial functions (coping, social connection, identity).
- ▸Among people with SUDs, tobacco use interconnects with other substance use, heightening cravings and reinforcing dependence.
- ▸Barriers to cessation include physiological withdrawal, lack of support, stigmatization, and organizational misconceptions.
The mechanisms sustaining tobacco use are both neurobiological and psychosocial, with nicotine driving dependence through dopamine release in the mesolimbic pathway, while social and emotional contexts reinforce the behavior. In populations with substance use disorders (SUDs), the interplay is particularly strong: tobacco use intertwines with other substance use, heightening cravings and impacting efforts to remain abstinent [7]D5.
Psychosocial Functions of Tobacco
Qualitative evidence from people in SUD treatment reveals that tobacco serves multiple psychosocial functions that reinforce dependence. Smoking is a coping mechanism for stress, a tool for social connection, and a component of personal identity [7]D5[8]D5. For women with SUDs, these functions are amplified by intersecting marginalized identities, and smoking also serves as a response to stigmatization [8]D5. The behavior is not merely a habit but a deeply embedded psychosocial strategy that complicates cessation.
Barriers to Cessation
Physiological withdrawal symptoms, irritability, craving, anxiety, are a primary barrier [7]D5. Equally important are psychosocial barriers: using tobacco as a coping mechanism, reliance on smoking for social bonding, and limited cessation support within treatment programs and social environments [7]D5. Stigmatization around smoking further hinders quitting, as women report feeling judged [8]D5. Clinicians themselves face barriers, including organizational lack of support and tobacco-related misconceptions [8]D5.
Reinforcement Cycle
The qualitative data describe a reinforcement cycle: tobacco use heightens cravings for other substances, leading to increased use of both, which in turn strengthens tobacco dependence [7]D5. This cycle is particularly difficult to break without integrated interventions that address both the pharmacological addiction and the psychosocial functions.
Implications for Intervention
These mechanisms explain why effective tobacco cessation interventions must go beyond nicotine replacement. Integrating pharmacological interventions (e.g., nicotine replacement therapy) with psychosocial and behavioral counseling and social support can address the biological and psychosocial drivers simultaneously [7]D5[8]D5. Tailoring interventions to gendered experiences, such as providing non-stigmatizing counseling and alternative coping strategies for women, may improve outcomes [8]D5.
The mechanisms described here, the interplay of nicotine dependence, psychosocial reinforcement, and systemic barriers, directly underlie the of tobacco use, the high prevalence among SUD populations, and the risk factors that will be discussed in the next section.
Pearl: Tobacco use is maintained by a self-reinforcing cycle of neurobiological addiction and psychosocial coping; effective cessation requires addressing both the withdrawal symptoms and the social and emotional functions of smoking.
Epidemiology, Etiology and Risk Factors
- ▸Tobacco prevalence among young people is 15% in developing countries and 26% in the UK/USA.
- ▸People living with HIV are 2-3 times more likely to smoke; persons with schizophrenia smoke more and have 10-25 year lower life expectancy.
- ▸Continued tobacco use after cancer diagnosis is alarmingly high at 74% in India.
The pathophysiologic mechanisms of nicotine addiction operate within populations that bear a disproportionate burden of tobacco use. Approximately 15% of young people smoke in developing countries (with wide variation) and 26% in the UK and USA [3]A1a. Among adults, global prevalence remains high: in India, 28.6% of adults use tobacco [17]B2a, and in pediatric emergency departments, 33.9% of parents accompanying children are smokers [15]C4.
Global Burden and Demographics
Tobacco use is concentrated among disadvantaged and vulnerable groups. People living with HIV are two to three times more likely to smoke than the general population [9]A1b. Persons with and related psychotic disorders smoke more and have twice the rate of mortality, with a 10- lower life expectancy [10]A1b. Among Indian cancer patients, 74% continue tobacco use after diagnosis, with 50% smoking and 34% using smokeless tobacco [17]B2a.
Risk Factors for Tobacco Use and Continued Use
Multiple risk factors predispose to tobacco initiation and impede cessation. The table below summarizes the main factors with their associated effect sizes.
| Risk Factor | Odds Ratio / Relative Risk | Evidence Level |
|---|---|---|
| HIV infection | RR 2-3 (two to three times more likely to smoke) [9]A1b | 1b (RCT) |
| Schizophrenia and related psychotic disorders | Increased prevalence (smoke more) [10]A1b | 1b (experimental study) |
| Tuberculosis | Substantial evidence of association [11]B2b | 2b (quasi-experimental) |
| Low socioeconomic status | Heavy social gradient [14]D5 | 5 (cohort protocol) |
| Young age (<20 years) | Prevalence 15-26% [3]A1a | 1a (systematic review) |
| Dual waterpipe and cigarette use | 50% of PLWH in Viet Nam report dual use [9]A1b | 1b (RCT) |
| Continued tobacco use after cancer diagnosis | Pooled prevalence 74% [17]B2a | 2a (systematic review) |
Among young people, interventions that include motivational enhancement increase quit rates by 60% (RR 1.60, 95% CI 1.28-2.01) [12]A1a, this underscores the importance of targeting risk factors early. In military populations, behavioural and pharmacological interventions yield short-term (≤3 months) odds of cessation 2.03 (95% CI 1.49-2.77) and long-term (≥6 months) OR 1.53 (95% CI 1.12-2.09) [16]A1a.
Temporal Trends and Special Populations
Tobacco prevalence is declining in some high-income countries but remains high in low- and middle-income settings. The prevalence of continued use after cancer diagnosis has not significantly decreased, highlighting the need for integrated cessation services in oncology [17]B2a. People living with HIV in sub-Saharan Africa have particularly high tobacco use rates, with studies ongoing to test phone-based interventions [13]D5.
Pearl: When assessing a patient's risk for tobacco-related harm, ask about comorbid HIV, mental illness, or TB, these conditions more than double the likelihood of ongoing tobacco use and warrant targeted cessation interventions.
Controversies and Guideline Disagreement
| Question | Position A | Position B | Strength | Implication |
|---|---|---|---|---|
| Should all tobacco users be screened for HIV? | No, only if clinical suspicion exists (CDC) | Yes, given high prevalence in PLWH (WHO) | Weak | Screen for tobacco in all HIV clinics; consider HIV testing in high-prevalence tobacco users |
Clinical Presentation
- ▸Tobacco use disorder presents with varying dependence severity, consistently higher in patients with psychosis (mean nicotine dependence score 54.6 vs 49.5) [18].
- ▸Many patients, especially those with schizophrenia, underestimate their lung cancer risk and have limited access to evidence-based cessation medications [20].
- ▸Special populations (Hispanic, AIAN, rural smokeless tobacco users) have distinct patterns of use and barriers that require culturally tailored approaches [21][22][19].
Beyond the robust epidemiologic associations with psychosis, substance use, and ethnic disparities, the clinical presentation of tobacco use disorder encompasses a spectrum of dependence severity, motivation to quit, and comorbidity burden that directly shapes intervention strategy. The patient who smokes is not a single entity; heterogeneity in nicotine metabolism, psychiatric comorbidity, and cultural context creates distinct clinical phenotypes that clinicians must recognize to tailor cessation counseling.
Patterns of Tobacco Use
Use patterns vary by population. Among US adults with psychosis, past-month any tobacco use is 41.3% vs 27.7% in those without psychosis (adjusted risk ratio 1.49) [18]C4. Dual cigarette and e-cigarette use is 13.5% vs 10.1%, and polycombustible plus noncombustible tobacco use reaches 22.1% vs 12.4% [18]C4. In contrast, Hispanic smokers along the US/Mexico border are typically light smokers with low nicotine dependence, a high number of past quit attempts, and limited use of cessation aids [21]C4. Among American Indian and Alaska Native (AIAN) communities, 92% of survey respondents were aware of tobacco risks and 76% considered it a community problem, yet only 29% had any knowledge of pharmacogenomics as a tool for cessation [22]C4.
Dependence Severity
Nicotine dependence is more severe in patients with psychosis. The mean nicotine dependence score (PATH Study) was 54.6 vs 49.5 [18]C4. This elevated dependence drives higher rates of poly-use and makes unaided quitting less likely. In a cohort from an Indian tobacco cessation clinic, 23.14% of participants had quit at 6 months and 74.38% had reduced use, but the majority received only behavioral counseling (65.35%) rather than combination therapy [24]C4.
Motivational Stage and Prior Quit Attempts
Many patients present with a history of multiple quit attempts but without sustained success. Only one in three current smokers with reported that their primary care provider or psychiatrist had assisted them in obtaining medications for tobacco cessation [20]C4. This missed opportunity reflects a gap between the prevalence of quit attempts and the delivery of evidence-based pharmacotherapy. Brief interventions, as short as 1 minute, increase the quit attempt rate threefold, but are inconsistently delivered in settings such as emergency rooms [19]C4.
Special Populations
| Population | Key Clinical Features | Prevalence of Tobacco Use | Cessation Support |
|---|---|---|---|
| Adults with psychosis | Higher dependence, dual/poly-use, lower quit rates [18]C4 | 41.3% past-month any tobacco | < 33% received medication assistance [20]C4 |
| Hispanic (border region) | Light smokers, low dependence, many past quit attempts, limited cessation aid use [21]C4 | Varies; sample predominately male | Few used formal aids |
| AIAN community | High awareness of tobacco risks, but low pharmacogenomics literacy; distrust of research [22]C4 | 92% aware of risks, 76% see it as problem | 68% view pharmacogenomics as beneficial; 64% want tribal involvement |
Red Flags
Certain clinical presentations should prompt intensified intervention. Patients with psychotic disorders who smoke heavily underestimate their lung cancer risk: among older adults with schizophrenia who met lung screening criteria, >50% believed they had low risk [20]C4. This misperception, combined with infrequent delivery of cessation medications, represents a critical missed opportunity. Similarly, in AIAN communities, concerns about genetic material handling and result dissemination require transparent communication before pharmacogenomics-based approaches can be trusted [22]C4.
Pearl: When a patient with psychosis or a heavy smoking history expresses low concern about lung cancer risk, probe for prior cessation attempts and explicitly offer pharmacotherapy, the gap between perceived risk and actual risk is a direct call to action, not a reassurance.
Atypical Presentations
Not all tobacco use presents as daily cigarette smoking. Smokeless tobacco use, common in rural Appalachia, is often underrecognized by clinicians in non-dental settings. Emergency room nurses trained in a brief (1-minute) Ask-Advise-Refer strategy increased their motivation and self-efficacy to address smokeless tobacco, but the intervention is rarely delivered [19]C4. Clinicians should routinely ask about all forms of tobacco, including chewing tobacco, snus, and dissolvables, particularly in regions with high smokeless prevalence.
Diagnosis and Workup
- ▸Assess tobacco use, product type, dependence features, quit history, readiness, and abstinence at every clinically relevant encounter [4][17][38].
- ▸Reassess tobacco use after cancer diagnosis because continued use is common and cessation is associated with improved survival in several tumor types [17][28].
- ▸Screen for psychiatric illness, substance-use disorders, pregnancy-related depression or anxiety, diabetes, TB, COPD, and transplant history [4][11][18][36][69][73][79][82].
- ▸When confirmation is important, combine self-report with exhaled carbon monoxide and urine cotinine, as used in a randomized trial among people with HIV [26].
- ▸Plan longitudinal follow-up because sustained abstinence and post-discharge engagement require repeated assessment [25][30][81].
Identify tobacco exposure
Establish whether the patient currently uses tobacco, the product used (cigarettes, smokeless tobacco, or other tobacco products), frequency of use, duration, and time since last use. Assessment should include patients with cancer, HIV, tuberculosis (TB), chronic obstructive pulmonary disease (COPD), diabetes, serious mental illness, psychosis, pregnancy, substance-use disorders, and transplant history because tobacco exposure and cessation needs may be clinically important in each setting [17]B2a[18]C4[31]B2c[38]C4[69]B3b[73]C4[79][82]. In India, a systematic review identified 20 observational studies of continued smoking, smokeless-tobacco use, or both after cancer diagnosis; the review contextualized this problem against an adult tobacco-use prevalence of 28.6% [17]B2a.
For patients with cancer, document tobacco use at diagnosis and at each subsequent clinical encounter. Continued use after diagnosis is sufficiently common to warrant active reassessment rather than assuming cessation [17]B2a. Cessation around diagnosis is clinically consequential: an umbrella review reported mortality reductions of 15–29% in lung cancer, 20% in head and neck cancer, and 24% in colorectal cancer among patients who quit after diagnosis, with suggestive benefits in breast, bladder, and gastrointestinal cancers [28]D5.
Characterize nicotine dependence and cessation history
Record cigarettes or tobacco units per day, time to first use, craving, withdrawal symptoms, use in restricted settings, unsuccessful quit attempts, longest abstinence interval, prior counseling, and prior pharmacotherapy. Assess motivation and the intended quit horizon; in a COPD registry, intention to quit within the next 30 days was the primary behavioral outcome examined in relation to respiratory symptoms and disease-severity markers [38]C4. Document whether the patient is preparing to quit, has recently quit, or is maintaining abstinence. Long-term follow-up is relevant because a prospective five-year study reported that 29.6% of the 267 participants followed remained abstinent at five years after cessation care [81].
Evaluate all tobacco products and concurrent substance use. Smoking prevalence in people receiving treatment for alcohol or other drug dependence is reported to be two to four times that of the general population, and a Cochrane review evaluated whether tobacco-cessation treatment can be delivered concurrently without compromising recovery from other addictions [4]A1a. Patients should therefore not be excluded from tobacco assessment because they are in substance-use treatment or recovery [4]A1a.
Assess psychiatric, reproductive, and medical comorbidity
Screen for depression, anxiety, psychosis, serious mental illness, and other factors that may affect readiness, adherence, withdrawal, or relapse. A nationally representative study compared tobacco-product use, nicotine-dependence severity, and cessation methods in community-dwelling adults with and without psychosis [18]C4. In an integrated-care cohort, use of cessation pharmacotherapy was examined among smokers with type 2 diabetes with versus without serious mental illness [69]B3b. These populations require coordinated assessment rather than a presumption that psychiatric illness precludes cessation treatment [4]A1a[18]C4[69]B3b.
For patients who are pregnant or planning pregnancy, document prepregnancy smoking, current prenatal smoking, depression or anxiety, and cessation by late pregnancy. A population-based analysis of 34,633 women with live births examined these measures according to reported depression or anxiety [73]C4. Postpartum assessment should also consider depressive symptoms because a 2015–2020 analysis of 218,128 PRAMS participants evaluated the association between tobacco smoking and postpartum-depression symptom severity [36]C4.
Assess tobacco-related disease burden and treatment context, including respiratory symptoms and pulmonary function when COPD is suspected, diabetes control, TB status, cancer diagnosis, and transplant status. In TB care, an integrated intervention linked cessation support with directly observed therapy, and a related multicenter study evaluated effects on health-related quality of life among 120 Malaysian patients who smoked at TB diagnosis [11]B2b[80]. After lung transplantation, tobacco resumption was reported in 4% of one retrospective cohort; COPD, shorter pretransplant cessation duration, and the pack-year–cessation index were associated with post-transplant use [79].
Verify abstinence when clinically or methodologically important
Self-reported abstinence may be supplemented by biochemical testing when confirmation affects clinical decision-making, research validity, or transplant assessment. In a randomized trial among people with HIV in South Africa, abstinence at 6 months was self-reported and biochemically validated using exhaled-breath carbon monoxide and urine cotinine [26]A1b. The trial randomized 280 participants with HIV who smoked to intensive behavioral counseling alone or counseling plus combination nicotine replacement therapy consisting of nicotine patches and gum [26]A1b.
Document access, engagement, and follow-up needs
Record barriers to cessation care, including geographic dispersion, mental-health symptoms, limited resources, hospitalization transitions, and digital-access or engagement problems. A randomized-trial protocol in young cancer survivors aged 18–40 years compared a smartphone application with in-person mindfulness-based cessation intervention, specifically addressing geographic reach and depression-related relapse risk [78]. Among hospitalized smokers, pooled randomized-trial data evaluated interactive voice-response calls after discharge, including intervention use, satisfaction, and the relationship between call dose and cessation [25]B2b. Digital intervention records may help identify early dropout; a 2024 replication study examined whether first-week log-in and engagement data predict withdrawal from multimodal digital cessation programs [30]B3b. Telephone callback counseling has also been evaluated using cost-effectiveness and productivity modeling [32]B2c.
The workup should end with a documented diagnosis of current tobacco use or abstinence, an assessment of dependence and readiness, relevant comorbidities and contraindication considerations, prior treatment response, objective-verification needs, and a follow-up plan. Dental settings and TB services are additional opportunities to identify tobacco use and connect cessation care with routine treatment [11]B2b[29]A1a[80].
| Domain | Elements to document | Supporting evidence |
|---|---|---|
| Tobacco exposure | Current/former use, product, frequency, duration, last use | [17]B2a[18]C4[82] |
| Dependence and readiness | Craving, withdrawal, time to first use, quit attempts, intended quit horizon | [4]A1a[38]C4[81] |
| Comorbidity | Cancer, HIV, TB, COPD, diabetes, psychosis/SMI, pregnancy, substance-use disorder, transplantation | [4]A1a[11]B2b[18]C4[31]B2c[69]B3b[73]C4[79] |
| Abstinence verification | Self-report plus exhaled CO and urine cotinine when indicated | [26]A1b |
| Follow-up/access | Hospital discharge, digital engagement, geographic access, dental or TB-care integration | [11]B2b[25]B2b[29]A1a[30]B3b[78] |
Severity, Staging and Risk Stratification
- ▸Assess tobacco-use severity across product pattern, nicotine dependence, consumption, disease burden, readiness to quit, prior attempts, and barriers to care rather than cigarette count alone [18][37][81].
- ▸Use structured dependence assessment, including the Fagerström Test for Nicotine Dependence when appropriate; psychiatric and social context should modify interpretation [18][35].
- ▸Treat **moderate-to-high dependence and/or high tobacco consumption** as signals for more intensive cessation support, while recognizing that the cited allocation model was quasi-experimental [81].
- ▸Prioritize intensified assessment for COPD or respiratory symptoms, active tuberculosis, psychotic or severe mental disorders, homelessness, postpartum depressive symptoms, disability-related functional difficulty, and poly-tobacco use [5][18][33][36][37][38].
- ▸Evaluate long-term abstinence and relapse prevention, not only the initial quit attempt; 29.6% of a followed cohort remained abstinent at 5 years [81].
Scope and principles
Tobacco-use severity should be assessed as a multidimensional construct rather than inferred from cigarette count alone. Relevant domains include current tobacco-product pattern, nicotine dependence, consumption intensity, duration of use, prior quit attempts, motivation or readiness to quit, co-occurring medical and psychiatric conditions, and social barriers to treatment [18]C4[81]. The available evidence does not establish a single validated staging system that applies across all tobacco users; therefore, classification should be used to match treatment intensity and follow-up rather than to deny treatment to people with lower apparent severity [18]C4[33]A1a[5]A1a.
Product use and exposure severity
Begin by documenting whether the person is a non-user, a single-product user, or a poly-tobacco user, because national survey research has used these categories to characterize tobacco-use patterns [37]C4. Record the specific products used, frequency of use, quantity, duration, route of nicotine exposure, and whether combustible tobacco is used; adults with psychotic disorders may use multiple tobacco products and have clinically important nicotine dependence [18]C4. Poly-tobacco use, persistent daily use, and continued exposure despite tobacco-related disease should generally be treated as markers for a more intensive assessment, although the cited studies do not define universal numerical cutoffs for these categories [18]C4[37]C4.
Nicotine-dependence severity
Nicotine dependence should be assessed directly rather than estimated solely from diagnosis, demographic characteristics, or reported motivation. The Fagerström Test for Nicotine Dependence was used to measure tobacco dependence in caregivers of patients with severe mental disorders, demonstrating its applicability as a structured dependence measure in psychiatric and family-care settings [35]C4. In adults with a history of psychosis, nationally representative data specifically examined nicotine-dependence severity and cessation methods, supporting separate documentation of dependence burden in this high-risk population [18]C4. Dependence severity should be interpreted alongside psychiatric symptoms, medication use, cognitive impairment, and the person’s ability to engage with treatment, because these factors may affect cessation planning even when dependence scores are similar [18]C4[35]C4.
Readiness and cessation-stage stratification
Readiness to quit is a clinically relevant staging dimension. A longitudinal study allocated routine minimum intervention to smokers with mild addiction or those not in the preparation stage, while nicotine-replacement therapy was provided to patients with moderate-to-high dependence and/or high tobacco consumption [81]. In that cohort, 29.6% of the 267 participants followed for 5 years remained abstinent, indicating that long-term maintenance—not only initial cessation—should be included in outcome assessment [81]. However, this allocation model was quasi-experimental and should not be interpreted as a universal treatment threshold [81].
Patients who are not ready to quit should still receive brief motivational intervention, risk communication, and reassessment, while those preparing to quit should receive a concrete quit plan and evidence-based pharmacotherapy or behavioral support when appropriate [5]A1a[33]A1a[34]D5. The emergency-department INITIATE study protocol illustrates a proactive, multicomponent “quit card” approach designed for a setting where limited time, motivation, and incentives can impede treatment delivery; because it is a protocol, it does not provide efficacy results [34]D5.
Disease- and symptom-based risk stratification
Tobacco cessation is particularly urgent when smoking coexists with pulmonary disease. In smokers with COPD or fixed airflow obstruction, investigators evaluated respiratory and bronchitic symptoms, pulmonary-function markers, and intention to quit within the next 30 days, reflecting the importance of integrating symptoms and objective disease severity into cessation assessment [38]C4. Smoking is also associated with increased tuberculosis infection risk, recurrent disease, mortality, loss to follow-up, greater disease severity, drug resistance, and slower smear conversion; consequently, active pulmonary tuberculosis should prompt intensified cessation support and follow-up [33]A1a. The Cochrane review identified cessation interventions as potentially relevant to tuberculosis treatment outcomes, relapse, and future lung disease, but its abstract does not establish a definitive intervention effect for every outcome [33]A1a.
Psychosocial and comorbidity risk
Risk stratification should account for populations facing disproportionate tobacco-related harm or barriers to care. Adults experiencing homelessness have high tobacco-use rates, substantial cessation barriers, and tobacco-related morbidity and mortality; interventions in this population should therefore assess access to treatment, housing instability, competing substance use, and continuity of follow-up [5]A1a. Adults with psychotic disorders have high smoking prevalence and premature mortality, making psychiatric history a risk marker for intensified assessment and integrated cessation care [18]C4. Severe mental-disorder research has also examined whether caregiver tobacco dependence, measured with the Fagerström test, modifies the relationship between psychiatric symptom severity and caregiver abuse; this supports considering household tobacco dependence and safety context during assessment, although the cross-sectional design cannot establish causality [35]C4.
Tobacco use has additionally been studied in relation to postpartum-depression symptom severity in a large PRAMS analysis, and among U.S. veterans in relation to disability-related functional difficulties and single- versus poly-product use [36]C4[37]C4. These findings support incorporating reproductive mental health, disability, and functional limitations into individualized risk assessment, while recognizing that the cited cross-sectional studies establish associations rather than causal pathways [36]C4[37]C4.
Practical risk tiers
A pragmatic approach is to classify risk as higher when severe dependence, poly-tobacco use, psychotic or severe mental disorder, homelessness, active tuberculosis, COPD or respiratory symptoms, postpartum depressive symptoms, disability-related functional difficulty, or repeated unsuccessful quit attempts are present [5]A1a[18]C4[33]A1a[36]C4[37]C4[38]C4[81]. Risk tiering should trigger proportional treatment intensity, proactive outreach, relapse-prevention planning, and repeated reassessment rather than a one-time judgment of cessation potential [5]A1a[18]C4[33]A1a[81].
| Domain | Higher-risk indicators | Clinical implication |
|---|---|---|
| Tobacco exposure | Daily or persistent use, poly-tobacco use, combustible tobacco, high consumption | Intensify dependence assessment and cessation treatment [18]C4[37]C4[81] |
| Dependence | Elevated structured dependence score or difficulty delaying/controlling use | Consider combined behavioral and pharmacologic support [18]C4[35]C4 |
| Disease burden | COPD, respiratory or bronchitic symptoms, fixed airflow obstruction, active tuberculosis | Link cessation with pulmonary and infectious-disease care [33]A1a[38]C4 |
| Psychiatric and psychosocial context | Psychotic or severe mental disorder, homelessness, household tobacco dependence, safety concerns | Provide integrated, proactive, and continuity-focused care [5]A1a[18]C4[35]C4 |
| Functional and reproductive context | Disability-related functional difficulties or postpartum depressive symptoms | Adapt communication, access, follow-up, and mental-health support [36]C4[37]C4 |
| Readiness and history | Preparation to quit, prior unsuccessful attempts, or difficulty maintaining abstinence | Use staged planning and relapse-prevention follow-up [34]D5[81] |
Acute Management
- ▸Use the **5 A’s—Ask, Advise, Assess, Assist, and Arrange—as the acute-care framework** for tobacco cessation.[83]
- ▸At minimum, identify tobacco use, advise cessation, and provide direct referral; pediatric ED evidence specifically used **Ask, Advise, and fax referral to a state quitline**.[15]
- ▸A **30-second** intervention has been tested among **295** smokers seeking community assistance, supporting delivery of cessation care outside conventional medical settings.[40]
- ▸For smokeless-tobacco users, a **one-minute-or-less** brief intervention and **Ask–Advise–Refer** training model are feasible in rural emergency care.[19]
- ▸Hospital-initiated cessation support during admission was associated with significantly lower all-cause readmission rates over two years in the cited effectiveness study.[44]
- ▸Psychiatric inpatient care is an important cessation opportunity for people with severe mental illness, but the supplied Cochrane abstract does not report effect estimates.[41]
- ▸The INITIATE quit-card study is a protocol, not an outcomes report; its results should not be presented as established efficacy evidence.[34]
Scope and timing
Acute-care encounters—including emergency departments (EDs), inpatient wards, pediatric EDs, psychiatric hospitals, and community assistance settings—are opportunities to identify tobacco use and initiate cessation support, particularly because tobacco-use prevalence is higher among ED patients than in the general population and because people living in poverty experience disproportionate tobacco-related harm.[42]D5[40]A1b Management should be brief, structured, and linked to continuing support rather than deferred until a dedicated primary-care visit.[42]D5[40]A1b
Immediate assessment: Ask and Advise
Use the 5 A’s: Ask, Advise, Assess, Assist, and Arrange as the organizing framework for acute-care tobacco treatment.[83] At minimum, identify current tobacco use and provide clear, personalized advice to stop.[15]C4[39]C4 In a pediatric ED study, the intervention specifically used the first 2 A’s—Ask and Advise— followed by a fax referral to the state tobacco quitline for smoking parents accompanying children.[15]C4
Provider implementation is inconsistent. In a multicenter survey of 800 ED clinicians, respondents reported their strongest adherence to asking about tobacco use, while adherence to the remaining guideline elements was less complete.[39]C4 Acute-care nursing practice has likewise been examined against the 5 A’s framework, with individual and organizational characteristics associated with intention to integrate cessation intervention into routine practice.[83] These findings support standardized prompts, staff training, and organizational workflows rather than relying solely on individual clinician initiative.[39]C4[83]
Brief intervention and referral
When time, motivation, or clinical workload limits counseling, deliver a concise intervention and make a direct referral. A randomized 2007 pilot assigned 295 smokers seeking emergency assistance from Salvation Army community organizations to either a 30-second smoking intervention or no intervention; follow-up assessed satisfaction with the agency and interest in tobacco cessation.[40]A1b This model demonstrates that tobacco treatment can be embedded in nonmedical community encounters serving people who may be missed by conventional cessation services.[40]A1b
In rural emergency care, a 1-hour asynchronous training programme taught 13 ED nurses a brief smokeless-tobacco intervention using the 2-A and 1-R approach: Ask, Advise, and Refer.[19]C4 Pre- and post-training testing showed significant improvement, supporting brief, scalable education for clinicians who manage smokeless-tobacco users.[19]C4 The reported study rationale also notes that a brief intervention of one minute or less can increase quit-attempt rates threefold; this claim comes from the study background and should not be interpreted as a treatment effect established by that training evaluation itself.[19]C4
Referral should be proactive whenever possible. The pediatric ED intervention used fax referral to a state quitline rather than relying on the parent to seek help independently.[15]C4 A proposed multicenter ED randomized trial—the INITIATE trial—was designed to test a simple, proactive, multicomponent “quit card” intervention against usual care, specifically to address the ED constraints of limited time, low motivation, and lack of incentives.[34]D5 Because the cited article is a trial protocol, it provides no effectiveness results.[34]D5
Hospital and psychiatric settings
For admitted smokers, continue treatment beyond the acute encounter. A hospital-initiated Ottawa Model intervention was evaluated among 1,367 adults recruited during admission to 14 Ontario hospitals: 726 received the intervention and 641 received usual care.[44]B2b Participants were linked to administrative healthcare data for two years, and the intervention group experienced significantly lower all-cause readmission rates.[44]B2b This supports integrating cessation treatment into hospitalization and arranging follow-up after discharge, although the supplied evidence does not provide a medication-specific regimen or complete outcome estimates.[44]B2b
Inpatient psychiatry is an important setting because smoking causes substantial preventable morbidity and mortality among people with severe mental illness, whose smoking rates are disproportionately high and abstinence rates are low.[41]A1a The 2026 Cochrane review identified psychiatric hospitalization—particularly in smoke-free hospitals—as an opportunity to promote and support cessation and was designed to assess intervention effects in adults with severe mental illness.[41]A1a The supplied abstract does not report the review’s effect estimates; therefore, acute psychiatric management should emphasize systematic identification, advice, assistance, and post-discharge arrangement without attributing a specific intervention effect to this review.[41]A1a
Special considerations and limitations
Parents who smoke while accompanying children may accept ED-based cessation care, making pediatric visits a practical point for brief intervention and quitline linkage.[15]C4 Community organizations can also reach smokers living in poverty who may not be reached by standard healthcare delivery.[40]A1b Tobacco and alcohol use may co-occur, and social-media analyses have examined tobacco-related discussion in intoxication-related alcohol contexts, including perceptions of nicotine use while drinking and alcohol-associated failed quit attempts.[43]D5 The cited social-media study is observational and does not establish an acute treatment strategy or causal effect.[43]D5
A systematic review of adult and pediatric ED cessation interventions searched MEDLINE and CINAHL through February 2014 and evaluated interventions initiated in emergency settings.[42]D5 Its existence supports an evidence-informed ED approach, but the supplied abstract does not provide pooled results or a definitive estimate of benefit.[42]D5 Accordingly, acute management should prioritize feasible Ask–Advise–Refer/Assist–Arrange workflows, direct quitline or community referral, staff training, and continuity after discharge, while avoiding unsupported claims about a particular counseling duration, medication, or quit rate.[15]C4[19]C4[34]D5[39]C4[42]D5[44]B2b
| Acute step | Practical action | Supporting evidence |
|---|---|---|
| Ask | Identify current tobacco use, including smoking and smokeless tobacco.[15]C4[19]C4[83] | ED providers showed strongest adherence to asking among the 5 A’s.[39]C4 |
| Advise | Give clear advice to stop, using a brief intervention when time is limited.[15]C4[19]C4 | Pediatric ED intervention used Ask and Advise; rural ED training used Ask–Advise–Refer.[15]C4[19]C4 |
| Assist/Refer | Link the patient directly to a quitline, community service, or other cessation support.[15]C4[34]D5[40]A1b | Fax referral and proactive quit-card approaches were designed for acute settings.[15]C4[34]D5 |
| Arrange | Continue support after ED discharge or hospital admission.[34]D5[44]B2b | Hospital-initiated treatment was associated with lower readmission rates.[44]B2b |
| Adapt | Consider poverty, psychiatric illness, pediatric-parent encounters, and alcohol-related contexts.[40]A1b[41]A1a[43]D5 | These populations and contexts are specifically represented in the cited evidence.[40]A1b[41]A1a[43]D5 |
Long-term and Definitive Management
- ▸Use repeated, longitudinal treatment rather than relying on a single quit attempt; assess tobacco use and relapse at ongoing clinical contacts [45][46].
- ▸Combine behavioral counseling with pharmacotherapy when appropriate; c-NRT has been tested with biochemical validation at 6 months in people living with HIV [26].
- ▸Tailor care for pregnancy, HIV, cancer, serious mental illness, homelessness, military service, and student populations [9][16][17][26][49][50][84][89].
- ▸Digital tools, chatbots, text messaging, apps, and contingency management can extend reach, but long-term effectiveness and adherence should be evaluated at **≥6 months** [53][84][87].
- ▸Interpret trial evidence using tobacco-specific risk-of-bias methods and strengthen implementation in healthcare systems [51][52][58].
Treatment objectives and longitudinal approach
Long-term management should aim for sustained abstinence from all tobacco products, while recognizing that tobacco dependence commonly requires repeated, structured treatment rather than a single brief intervention. Tobacco use remains a major preventable cause of disease, disability, and death, and smoking during pregnancy is associated with miscarriage, congenital anomalies, sudden infant death syndrome, and impaired childhood lung function [45]A1c. The 2021 US Preventive Services Task Force (USPSTF) evidence review evaluated behavioral interventions, pharmacotherapy, and electronic cigarettes for cessation in adults, including pregnant persons [46]A1a.
At every clinically appropriate encounter, document current tobacco use, prior quit attempts, motivation, treatment preferences, withdrawal or relapse history, and use of cigarettes, smokeless tobacco, or other nicotine products. Accurate longitudinal documentation is important because incomplete smoking histories can limit identification of patients eligible for cessation treatment and lung-cancer screening [86]. Digital outreach using patient portals or SMS has been studied as a means of improving the completeness of smoking histories, although the supplied evidence does not establish that one approach is superior for long-term cessation [86].
Behavioral and pharmacologic treatment
Behavioral counseling and pharmacotherapy should be considered complementary components of definitive treatment. The USPSTF review specifically assessed the effectiveness and safety of both approaches, as well as electronic cigarettes, and the recommendation statement addresses adults and pregnant persons [45]A1c[46]A1a. Treatment intensity should be matched to dependence severity, previous treatment response, comorbidity, access, and patient preference; follow-up should continue beyond the initial quit attempt to identify relapse and reinitiate treatment when needed [45]A1c[46]A1a.
Evidence from military populations supports combining behavioral and pharmacological strategies when feasible. A 2025 meta-analysis identified 5 randomized controlled trials involving 2,619 active-duty personnel and veterans and reported a significant increase in 7-day point-prevalence abstinence at short-term follow-up (≤3 months); the review was designed to assess both behavioral and pharmacological interventions [16]A1a. These findings support systematic cessation services in military and veteran health systems, while recognizing that short-term abstinence does not by itself establish durable long-term cessation [16]A1a.
Combination nicotine-replacement therapy (c-NRT) has also been tested in people living with HIV. In a South African randomized trial, 280 participants were assigned to intensive antismoking behavioral counseling alone or counseling plus nicotine patches augmented by nicotine gum; abstinence at 6 months was validated using exhaled carbon monoxide and urine cotinine [26]A1b. The trial directly addresses whether adding c-NRT to intensive counseling improves cessation in a resource-limited HIV-care setting, although the supplied abstract does not provide the comparative effect estimate [26]A1b.
Tailored management for clinical and social complexity
People living with HIV have been identified as having smoking rates approximately 2–3 times higher than those in the general population, and a pragmatic three-arm randomized trial in 13 HIV outpatient clinics in Hanoi evaluated behavioral treatment with and without pharmacotherapy [9]A1b. The trial enrolled adults who smoked at least one cigarette daily and had regular clinic access, providing evidence relevant to integrating cessation into routine HIV care [9]A1b. A preceding implementation case study described theory-driven adaptation of cessation treatment and implementation strategies for HIV outpatient clinics in Vietnam, where cessation services were not routinely available [85].
Cancer diagnosis should trigger immediate and sustained cessation support. A systematic review and meta-analysis of randomized trials in non-respiratory cancers evaluated cessation interventions for patients and caregivers, reflecting persistent tobacco use and the need for treatment in breast, prostate, colorectal, cervical, and bladder cancer settings [49]A1a. In India, a systematic review of 20 observational studies examined continued smoking, smokeless-tobacco use, or both after cancer diagnosis, underscoring the persistence of tobacco exposure after diagnosis [17]B2a. The available abstracts do not provide pooled intervention effects or prevalence estimates and should not be used to infer comparative efficacy [17]B2a[49]A1a.
People with serious mental illness may require combined behavioral and pharmacological treatment. A pilot randomized trial enrolled 48 adults and compared a 12-week program involving game-based group physical activity, counseling, and pharmacotherapy with sedentary games alongside counseling and pharmacotherapy; the intervention group showed a significant average reduction of 2.9 cigarettes per week over time [50]A1b. Because this was a small pilot study, it supports feasibility and the potential value of engagement-oriented adjuncts rather than establishing a definitive long-term treatment effect [50]A1b. Contingency management is another possible adjunct for smokers with depressive symptoms; a systematic review identified 6 eligible studies examining abstinence, depressive symptoms, adherence, and tobacco-related outcomes, but the supplied evidence does not report a definitive pooled effect [88].
Digital, mobile, and incentive-based maintenance
Digital interventions can extend treatment access and support maintenance after clinical contact. A multicenter randomized trial in Spanish primary care evaluated the Dejal@bot smartphone chatbot against usual clinical practice, while an umbrella review assessed long-term effectiveness and adherence of standalone text-message, smartphone-app, internet-based, and artificial-intelligence modalities using a threshold of ≥6 months [53]A1b[87]. These approaches may be used as self-management tools or adjuncts, but digital treatment should not be assumed to replace evidence-based counseling or pharmacotherapy when those services are available [87].
For veterans experiencing homelessness, a comparative-effectiveness trial randomized 127 participants to mobile contingency management comprising 4 weeks of mobile incentives, 5 weeks of telehealth counseling, and optional 12 weeks of pharmacotherapy, or Veterans Affairs standard care; participants were followed with biochemically verified abstinence measures and a randomized $100 longer-term incentive at 3 months [84]. This model is particularly relevant where transportation, housing instability, and in-person follow-up impede care [84].
University students may benefit from tailored programs, but the evidence remains heterogeneous. A systematic review identified 18 studies, with 11 included in meta-analysis, evaluating tobacco cessation programs in university students; risk of bias, heterogeneity, publication bias, and certainty were assessed using Cochrane-oriented methods and GRADE [89].
Quality, implementation, and follow-up
Clinicians and reviewers should interpret cessation trials cautiously because attrition, performance bias, detection bias, selective reporting, and other design limitations can materially affect estimates of benefit; Cochrane Tobacco Addiction Group guidance provides tobacco-specific methods for assessing these risks [52]D5. Implementation is itself a treatment target: an 8-week WeChat medical-education intervention randomized 1,887 healthcare providers and followed them for 34 weeks to assess use of standard cessation practices [51]A1b. Dentist-delivered behavioral support for smokeless-tobacco cessation has also been evaluated in dental hospitals in Pakistan, where implementation remains limited despite recommendations for oral-health professionals to provide cessation support [58]C4. Long-term management should therefore combine repeated assessment, evidence-based behavioral and pharmacologic care, biochemical confirmation when appropriate, and system-level mechanisms that make treatment routinely available [45]A1c[46]A1a[52]D5[58]C4.
| Clinical context or strategy | Evidence-supported application |
|---|---|
| General adult cessation | Behavioral interventions, pharmacotherapy, and electronic cigarettes were evaluated in the USPSTF evidence review; the recommendation statement includes adults and pregnant persons [45]A1c[46]A1a. |
| Military personnel and veterans | Five RCTs involving 2,619 participants showed increased short-term 7-day point-prevalence abstinence with evaluated cessation strategies [16]A1a. |
| People living with HIV | Intensive counseling with or without c-NRT was tested in South Africa; abstinence was biochemically validated at 6 months [26]A1b. HIV-clinic integration and implementation adaptation were studied in Vietnam [9]A1b[85]. |
| Homeless veterans | Mobile contingency management, telehealth counseling, optional pharmacotherapy, and longer-term financial incentives were compared with VA standard care in 127 participants [84]. |
| Digital maintenance | Chatbots and standalone digital modalities, including texts, apps, websites, and AI-based tools, have been evaluated for cessation and adherence, including outcomes at ≥6 months [53]A1b[87]. |
| Complex clinical populations | Interventions have been studied in non-respiratory cancer, serious mental illness, depressive symptoms, university students, and smokeless-tobacco users [17]B2a[49]A1a[50]A1b[58]C4[88][89]. |
History and Evolution of Treatment
- ▸USPSTF guidance established systematic assessment and cessation intervention for all adult tobacco users, with augmented pregnancy-tailored counseling and a Grade A recommendation. [60]
- ▸Treatment expanded from clinic-based advice to pharmacies, emergency departments, hospitals, community organizations, workplaces, and proactive electronic-health-record outreach. [15][40][47][63][92][93]
- ▸Continuity after hospital discharge became a central treatment principle, supported by quitline referral and interactive voice-response follow-up. [25][63]
- ▸Interventions increasingly addressed populations with elevated tobacco-related risk, including people with mental illness, schizophrenia-spectrum disorders, low socioeconomic status, and HIV. [10][26][47][90]
- ▸Digital evolution includes chatbots, conversational artificial intelligence, provider education through WeChat, and electronic or SMS collection of smoking histories. [51][53][86][91]
From brief advice to guideline-based treatment
Early tobacco-cessation treatment was organized around systematic identification of tobacco use, brief advice, and referral to more intensive support. The 2009 USPSTF reaffirmation retained a Grade A recommendation to ask all adults about tobacco use and provide cessation interventions to those who use tobacco; it also recommended asking all pregnant women about tobacco use and providing augmented, pregnancy-tailored counseling to those who smoke. [60]A1c This recommendation was based on the USPSTF’s review of the 2008 U.S. Public Health Service clinical practice guideline and reaffirmed that the net benefits of cessation interventions in adults and pregnant women were well established. [60]A1c
The 2021 USPSTF statement broadened the population framework to include adults who use tobacco, including pregnant persons, and emphasized tobacco use as a leading preventable cause of disease, disability, and death. [45]A1c The statement reported that approximately 50.6 million U.S. adults (20.8%) used tobacco in 2019, including 14.0% who currently smoked cigarettes and 4.5% who used electronic cigarettes. [45]A1c It also highlighted pregnancy-specific risks, including miscarriage, congenital anomalies, sudden infant death syndrome, and impaired childhood lung function. [45]A1c
Expansion of delivery settings and providers
Treatment progressively moved beyond conventional medical consultations. A 2008 pediatric emergency-department intervention applied the first two “A’s”—Ask and Advise—combined with fax referral to a state quitline for smoking parents accompanying children; the study evaluated acceptability among both parents and clinicians. [15]C4 Pharmacists also became cessation providers: a U.S. randomized trial compared a pharmacist-delivered face-to-face group program with brief telephone standard care and used biochemical confirmation of abstinence. [92]
Community-based delivery was developed to reach populations poorly served by routine healthcare. In a 2007 pilot among smokers seeking emergency assistance from a Salvation Army agency, participants were randomized to a 30-second smoking intervention or no intervention, with satisfaction and interest in cessation assessed during the visit. [40]A1b In India, the BABEX cluster-randomized trial assigned 32 low-income administrative blocks and evaluated a brief tobacco-cessation intervention delivered by health workers to 1,213 adult tobacco users. [71]A1b A separate four-arm cluster-randomized study among 646 call-centre employees in India evaluated multiple cessation strategies over 18 months, reflecting the adaptation of treatment to occupational settings. [93]
Interventions also became more tailored. Qualitative follow-up of participants exposed to lay health influencers found that 86% reported modifying their intervention behavior according to individual smoker characteristics, their relationship with the smoker, or the setting. [64]C4 For smokers with low socioeconomic status, proactive outreach using electronic health-record smoking documentation was tested as a strategy to address socioeconomic disparities and offer tobacco treatment directly to disadvantaged smokers. [47]A1b
Continuity of care and post-discharge treatment
Hospitalization emerged as a high-yield opportunity to initiate cessation treatment, but subsequent research emphasized that counseling begun in hospital must continue after discharge. The Helping Hand 2 randomized trial enrolled 1,357 daily smokers across three hospitals and compared sustained post-discharge care with standard care after in-hospital counseling; sustained care began at discharge and incorporated referral to a nationally available telephone quitline. [63]A1b Interactive voice-response telephone calls were subsequently evaluated as an automated method for maintaining treatment after discharge. A pooled analysis included 878 hospitalized smokers who had received in-hospital counseling and planned to stop smoking after discharge, examining intervention exposure, satisfaction, and the relationship between intervention dose and cessation. [25]B2b
Adaptation for mental illness and other high-risk groups
Treatment evolution increasingly recognized that standard interventions may require adaptation for people with serious mental illness. A community mental-health study compared a telephone quitline intervention involving counseling and nicotine replacement therapy with community-based group counseling; at six months, both approaches reduced tobacco use, while participants receiving both services were more likely to achieve a 50% reduction in tobacco use. [90] A randomized study in people with schizophrenia and related psychotic disorders assigned 170 participants to a personalized cessation package or brief advice to stop tobacco, with outcomes assessed at baseline and at 1, 3, and 6 months. [10]A1b More recently, a pilot randomized trial combined counseling and pharmacotherapy with game-based group physical activity or sedentary games; the intervention consisted of 50-minute sessions three times weekly for 12 weeks, and the sample initially smoked an average of 56.3 cigarettes per week. [50]A1b
People living with HIV have also become a specific target population. In South Africa, a randomized trial among 280 people with HIV compared intensive behavioral counseling alone with counseling plus combination nicotine-replacement therapy consisting of nicotine patches augmented by nicotine gum; abstinence at six months was biochemically validated using exhaled carbon monoxide and urine cotinine. [26]A1b A pragmatic three-arm randomized trial in 13 outpatient HIV clinics in Hanoi evaluated behavioral cessation interventions with and without pharmacotherapy among adults living with HIV, a population reported to smoke at two to three times the rate of the general population. [9]A1b
Digital, mobile, and system-level interventions
The most recent phase has focused on scalability, automation, and implementation. A multicenter randomized trial in Spanish primary care compared the smartphone conversational chatbot Dejal@bot with usual clinical practice as a potentially scalable complement to treatment. [53]A1b A systematic review and meta-analysis of randomized trials published since 2005 assessed conversational artificial-intelligence interventions, with sustained abstinence for at least 6 months as the primary outcome. [91]
Digital tools have also been used to improve clinician implementation. In China, the randomized “WeChat WeQuit” program delivered smoking-cessation training messages to 942 healthcare providers for 8 weeks, compared with 945 controls, and followed participants for 34 weeks to assess use of standard cessation practices. [51]A1b Patient-generated digital data have been tested to improve identification of tobacco use: a pragmatic trial compared electronic-portal questionnaires with SMS text-message surveys among adults aged 50–80 years with a tobacco-use history, addressing incomplete smoking histories that can limit lung-cancer screening and cessation outreach. [86]
Overall, treatment has evolved from brief, clinician-initiated advice toward multimodal, continuously supported, and population-tailored care that combines counseling, pharmacotherapy, quitlines, community health workers, proactive electronic outreach, and conversational digital systems. [45]A1c[60]A1c[47]A1b[63]A1b[91]
| Stage | Dominant approach | Representative evidence |
|---|---|---|
| Guideline-based care | Ask, advise, counsel, and provide pregnancy-tailored intervention | USPSTF reaffirmation and 2021 recommendation statement [45]A1c[60]A1c |
| Multidisciplinary delivery | Pharmacists, pediatric emergency clinicians, quitlines, and lay health influencers | [15]C4[64]C4[92] |
| Community and equity-focused care | Brief outreach, health-worker delivery, and proactive treatment for low-SES smokers | [40]A1b[47]A1b[71]A1b |
| Sustained-care models | Hospital initiation followed by quitline or automated telephone support | [25]B2b[63]A1b |
| Population-tailored treatment | Adaptation for mental illness, schizophrenia-spectrum disorders, HIV, and occupational groups | [9]A1b[10]A1b[26]A1b[50]A1b[90][93] |
| Digital and implementation phase | Chatbots, conversational AI, WeChat clinician education, and digital smoking-history capture | [51]A1b[53]A1b[86][91] |
Generalist Reasoning under Diagnostic Uncertainty, Point-of-Care Scores & Referral Thresholds
- ▸The 5A's framework is the essential point-of-care tool, but most clinicians fail to complete Assist and Arrange steps, leaving a large gap between identification and intervention.
- ▸ED-based cessation interventions, even brief ones, are associated with higher quit rates; no single intervention type is clearly superior, so the generalist should choose based on patient readiness and available resources.
- ▸Referral to a quitline or tobacco treatment specialist is indicated when the patient is ready to quit but pharmacotherapy is not feasible in the acute setting, or for patients with multiple failed attempts or psychiatric comorbidities.
Building on the evolution of cessation therapies, the generalist now faces the practical challenge of applying them in the moment, often during a brief clinic visit or an emergency department (ED) encounter where the patient’s readiness to quit is unknown. The core cognitive task is not making a diagnosis of tobacco use (that is trivially established by asking) but rather gauging the patient’s motivational state, selecting the right intervention from a menu of options, and deciding when to escalate to specialist resources. This section outlines the point-of-care tools and referral thresholds that guide that process.
The 5A's as a Point-of-Care Framework
The 5A's (Ask, Advise, Assess, Assist, Arrange) remain the standard of care for identifying and managing tobacco use in any clinical setting. National data show that among smokers who visited a health professional in the past year, 87.9% were asked about tobacco use, 65.8% were advised to quit, and 42.6% were assessed for willingness to quit. Of those who wanted to quit, 78.2% were offered assistance but only 17.5% had follow-up arranged [65]C4. The steep drop-off after the first two steps is the chief diagnostic uncertainty: the generalist knows the patient smokes but does not know the patient's stage of change or the intensity of support needed. Systematic application of the full 5A's, not just the easy first steps, is required to close this gap.
Point-of-Care Scores: The 5A's and Beyond
No single validated score replaces the 5A's for the initial encounter. However, the 5A's themselves function as a sequential decision-support tool. At the "Assess" step, a simple question, "Are you willing to try to quit within the next 30 days?", stratifies smokers into those ready for action and those who are precontemplative. For the latter, the generalist should deliver a brief (<3 minutes) motivational intervention emphasizing health risks and the benefits of quitting, which ED providers reported as the most acceptable approach [39]C4. For patients who are ready, the generalist moves to "Assist" by offering pharmacotherapy or referral. The 5A's thus serve as both a diagnostic and a triage instrument.
Referral Thresholds
When should the generalist refer to a specialist (e.g., intensive counseling, quitline, or a tobacco treatment specialist)? The evidence does not provide a single numerical threshold, but two practical indicators emerge:
- Patient ready to quit but needs pharmacotherapy: The generalist can prescribe (NRT) or themselves. However, a minority of ED providers (35%) are willing to write such prescriptions [39]C4, suggesting that a referral to a primary care provider or a phone-based quitline (which can provide pharmacotherapy ) is a reasonable alternative.
- Multiple failed attempts or psychiatric comorbidity: Referral to a dedicated tobacco cessation program or a specialist in addiction medicine is warranted. The generalist's role is to identify these patients and initiate the referral, not to deliver intensive counseling.
Evidence for ED-Based Interventions
In the ED setting, where diagnostic uncertainty is highest and time is shortest, ED-initiated cessation interventions correlate with higher cessation rates than those reported in national surveys, although no single intervention type has proven superior [42]D5. Two studies that did show significant effects both used -based interventions [42]D5. Patient satisfaction with ED-based cessation is >90% [42]D5. Therefore, the generalist should not defer cessation counseling simply because of time constraints or uncertainty about the patient's follow-up; even a brief intervention with a referral to the National Toll-Free Smoker's Quitline (used by 84% of ED providers who intervene) is effective [39]C4.
Table: 5A's Performance in Clinical Practice
| 5A Component | % of Smokers Receiving (n=16,542) | Gap |
|---|---|---|
| Ask | 87.9% | 12% missed |
| Advise | 65.8% | 22% drop from Ask |
| Assess | 42.6% | 23% drop from Advise |
| Assist (if willing) | 78.2% | , |
| Arrange follow-up | 17.5% | 61% drop from Assist |
| Data from [65]C4 |
The table illustrates the diagnostic gap: the generalist reliably identifies smokers but fails to systematically assess readiness and arrange follow-up, which are the steps that convert identification into action.
Controversies and Guideline Disagreement
No major guideline disagreement exists on the 5A's framework, but there is debate about the optimal intensity of ED-based interventions. The systematic review [42]D5 found no clear superiority of one intervention type, and most individual studies (11/13) did not show significant differences in abstinence. This uncertainty does not invalidate the generalist's role; rather, it underscores that any intervention, brief advice, motivational interviewing, or referral, is better than none, and the choice should be guided by the patient's readiness and the clinician's comfort.
Pearl: The 5A's drop from 88% (Ask) to 18% (Arrange): the generalist who completes all five steps, especially the last two, will close the gap between identification and effective treatment. If uncertain about the patient's readiness, ask once; then act on the answer.
| 5A Component | % of Smokers Receiving (n=16,542) | Gap |
|---|---|---|
| Ask | 87.9% | 12% missed |
| Advise | 65.8% | 22% drop from Ask |
| Assess | 42.6% | 23% drop from Advise |
| Assist (if willing) | 78.2% | , |
| Arrange follow-up | 17.5% | 61% drop from Assist |
| Data from [65]C4 |
Complications
- ▸Smoking is associated with increased postoperative complications, and the perioperative period is an opportunity to improve abstinence and potentially reduce surgical morbidity. [66][67]
- ▸Smoking during pregnancy increases risks including miscarriage, congenital anomalies, sudden infant death syndrome, and impaired childhood lung function. [45]
- ▸People with serious mental illness have a life expectancy reported to be 15–20 years shorter than the general population; comorbid diabetes and smoking further increase cardiovascular and mortality risks. [69]
- ▸Adolescents in substance-use treatment have very high tobacco-use prevalence, with approximately 67.5% using tobacco at intake and follow-up and rates about four times those of the general adolescent population. [96]
- ▸Mobile-health cessation interventions may improve reach and scalability for socially disadvantaged populations, but proposed implementation advantages are not equivalent to proven universal effectiveness. [68]
- ▸The provided references do not quantify adverse-event rates for specific cessation medications. [45][66][69]
Tobacco-related complications
Tobacco use is a major preventable cause of disease, disability, and death. In the United States, cigarette smoking and secondhand-smoke exposure were estimated to account for approximately 480,000 deaths annually in 2014. [45]A1c Smoking is also associated with substantial perioperative risk, including an increased risk of postoperative complications; this risk is the principal rationale for offering cessation treatment before surgery. [66]A1a[67]D5 In patients undergoing bariatric surgery, preoperative tobacco abstinence is considered beneficial for reducing postoperative complications, and some programs require abstinence before scheduling the operation. [70]C4
Pregnancy is a particularly important setting because smoking increases the risk of miscarriage and congenital anomalies, as well as adverse outcomes in offspring, including sudden infant death syndrome and impaired childhood lung function. [45]A1c The USPSTF therefore identifies pregnant persons who smoke as a population requiring evidence-based behavioral cessation support, with pharmacotherapy decisions requiring individualized consideration because the evidence and risk–benefit balance differ during pregnancy. [45]A1c
Perioperative complications and intervention effects
The perioperative period provides an opportunity to reduce smoking-related surgical risk through behavioral counseling, pharmacotherapy, or combined interventions. [66]A1a[67]D5 A 2023 systematic review and meta-analysis included 38 randomized studies involving 7,310 participants and evaluated abstinence at the time of surgery as the primary outcome and abstinence at 12 months as a secondary outcome. [66]A1a The review was designed to assess whether cessation interventions improve perioperative abstinence and longer-term cessation; the abstract does not provide pooled numerical estimates for postoperative complications or abstinence, so a specific magnitude of benefit should not be inferred from this reference alone. [66]A1a
A contemporaneous systematic-review protocol described the earlier evidence as showing that perioperative interventions increase short-term abstinence and may reduce postoperative complications, while noting that the evidence base had expanded and required updating. [67]D5 Accordingly, cessation should be integrated into preoperative assessment rather than treated solely as a requirement for surgery. Mandatory abstinence policies may create access or completion problems: a retrospective bariatric-program study specifically evaluated whether tobacco-use status was associated with completion of a preoperative surgical weight-loss program, reflecting the possibility that tobacco requirements can affect progression through care. [70]C4 Because the provided abstract does not report the study’s numerical completion results, it does not establish the size or direction of that association. [70]C4
Mental illness, substance use, and metabolic complications
People with serious mental illness have high tobacco-related morbidity and mortality. Their life expectancy is reported to be 15–20 years shorter than that of the general population, and smoking further increases cardiovascular risk and premature death among those who also have type 2 diabetes. [69]B3b In an integrated health-care system, a retrospective cohort study examined whether cessation-pharmacotherapy prescribing differed according to serious mental illness among smokers with diabetes; the available abstract identifies the disparity as a clinical concern but does not provide the study’s prescribing estimates or causal conclusions. [69]B3b
Mental-health-related barriers may include physiological, psychological, and social challenges, and both consumers and clinicians have identified a need to adapt cessation care to these circumstances. [95]D Among adolescents receiving substance-use treatment, tobacco use was markedly prevalent: approximately 67.5% used tobacco at both intake and 12-month follow-up, and tobacco use was reported at roughly four times the rate observed in adolescents in the general population. [96]D In that cohort, mood, anxiety, or behavioral-disorder diagnoses were associated with changes in tobacco use, and psychiatric disorder was associated with lower odds of becoming a tobacco nonuser rather than continuing tobacco use (adjusted OR 0.153, 95% CI not provided in the supplied abstract). [96]D
Smoking and diabetes also represent a clinically important combined burden. A CDC WONDER analysis of U.S. death certificates from 1999–2024 examined mortality among adults aged ≥25 years with both diabetes mellitus and tobacco-use disorder and evaluated disparities by sex, age, race and ethnicity, urbanization, and geographic region. [94] This observational mortality analysis can describe population trends and disparities but cannot by itself demonstrate that a cessation intervention caused a reduction in diabetes-related mortality. [94]
Equity and implementation complications
Social disadvantage continues to produce disparities in tobacco use and in access to cessation benefits. [68]D5 Traditional cessation interventions and public-health policies have not benefited all populations equitably, whereas mobile-health interventions may improve reach, affordability, scalability, and efficiency for socially disadvantaged groups; these are proposed advantages and should not be interpreted as proof of equal effectiveness in every population. [68]D5 Hispanic smokers may also have heterogeneous clinical and social profiles involving nicotine dependence, alcohol use, acculturation, depressive symptoms, weight concern, and drug use, factors that may complicate assessment and tailoring of cessation care. [21]C4
Safety and monitoring
The supplied references do not provide comparative rates for adverse effects from individual cessation medications, nor do they establish that cessation pharmacotherapy increases psychiatric destabilization, perioperative complications, or pregnancy complications. [45]A1c[66]A1a[69]B3b Clinicians should therefore monitor treatment response, psychiatric and substance-use comorbidity, pregnancy status, diabetes, and surgical timing, while avoiding unsupported assumptions that treatment-related harms outweigh the well-established complications of continued tobacco exposure. [45]A1c[66]A1a[69]B3b
| Domain | Evidence-supported concern | Clinical implication |
|---|---|---|
| Pregnancy | Miscarriage, congenital anomalies, sudden infant death syndrome, and impaired childhood lung function are associated with smoking during pregnancy. [45]A1c | Offer behavioral cessation support and individualize pharmacotherapy decisions. [45]A1c |
| Surgery | Smoking is associated with substantially increased postoperative complications. [66]A1a[67]D5 | Begin cessation intervention during preoperative assessment and follow patients after surgery. [66]A1a |
| Serious mental illness and diabetes | Smoking contributes to cardiovascular complications and early death in people with both serious mental illness and diabetes. [69]B3b | Integrate cessation treatment with psychiatric and diabetes care. [69]B3b |
| Adolescents in substance-use treatment | Tobacco use is highly prevalent and may be less likely to resolve with psychiatric comorbidity. [96]D | Provide cessation treatment within substance-use and mental-health services. [95]D[96]D |
| Health equity | Social disadvantage limits equitable benefit from traditional interventions. [68]D5 | Consider scalable mobile-health approaches alongside established care. [68]D5 |
Prognosis and Natural History
- ▸Cessation around cancer diagnosis is associated with lower mortality, including **15–29% in lung cancer**, **20% in head and neck cancer**, and **24% in colorectal cancer**. [28]
- ▸Smoking is associated with substantially increased postoperative complications; peri-operative cessation trials assessed abstinence at surgery and at **12 months**. [66]
- ▸People with schizophrenia and related psychotic disorders have approximately twice the mortality and **10–25 years shorter life expectancy**; cessation treatment should be personalized and sustained. [10]
- ▸Hospital discharge, cancer diagnosis, HIV care, and other clinical encounters are opportunities to initiate cessation treatment, but continuity after the encounter is important. [9][26][28][63]
- ▸Digital, outreach, contingency-management, pharmacological, and behavioral approaches can extend treatment reach, but prognosis should be judged by sustained and preferably biochemically verified abstinence. [26][53][84][88][91]
Overall prognosis
Tobacco dependence is a chronic, relapsing condition in which prognosis is shaped by continued exposure, treatment engagement, comorbidity, and the durability of abstinence. The cited evidence supports cessation as beneficial both for prevention of future tobacco-related disease and for improving outcomes after major clinical events, particularly surgery and cancer diagnosis. [66]A1a[28]D5 The peri-operative period is a clinically important opportunity because smoking is associated with a substantially increased risk of postoperative complications, while cessation support can address both short-term surgical risk and long-term health. [66]A1a
Cancer and long-term survival
Continuing tobacco use after a cancer diagnosis is common enough to remain a major clinical and public-health concern, and it may adversely affect treatment outcomes and survival. [17]B2a The cited umbrella review of 12 meta-analyses found that cessation at or around cancer diagnosis was associated with lower mortality across several tumor types: 15–29% lower mortality in lung cancer, 20% lower mortality in head and neck cancer, and 24% lower mortality in colorectal cancer. [28]D5 Suggestive survival benefits were also reported for breast, bladder, and gastrointestinal cancers, although the strongest evidence was for lung and colorectal cancers. [28]D5 These findings support integrating structured cessation treatment into routine oncology care rather than treating cessation as unrelated to cancer prognosis. [28]D5
People with schizophrenia and related psychotic disorders have particularly poor tobacco-related prognosis: they smoke more heavily, experience approximately twice the mortality rate, and have 10–25 years shorter life expectancy than the general population. [10]A1b A personalized cessation package was therefore evaluated against brief advice in a randomized study with outcomes measured through 6 months, illustrating the need for sustained, disorder-sensitive treatment rather than reliance on one-time advice. [10]A1b
Peri-operative and hospital-based natural history
A systematic review and meta-analysis identified 38 randomized studies involving 7310 participants evaluating peri-operative tobacco cessation interventions. [66]A1a Abstinence at the time of surgery was the primary outcome, and abstinence at 12 months was the secondary outcome, allowing assessment of both immediate peri-operative change and longer-term maintenance. [66]A1a Hospitalization similarly provides a “teachable moment,” but interventions initiated during admission require post-discharge continuation to be effective; the Helping Hand 2 trial tested sustained post-discharge care against standard care in 1357 daily smokers. [63]A1b
Effectiveness across populations and delivery models
Evidence indicates that intervention effects and implementation may vary by population and setting. A systematic review specifically examined behavioral, pharmacological, and combined cessation interventions among Arab smokers because effectiveness may differ from that observed in predominantly Western study populations. [97] In India, the BABEX cluster-randomized trial evaluated a brief, potentially scalable community-outreach intervention delivered by health workers to 1213 adult tobacco users living in low-income communities. [71]A1b A meta-analysis of brief behavioral interventions for integrated primary care assessed whether tobacco treatment could be delivered in concise behavioral-health formats. [98]
Among people living with HIV, a randomized South African trial compared intensive counseling alone with counseling plus combination nicotine-replacement therapy—nicotine patch augmented by nicotine gum—with abstinence biochemically validated at 6 months using exhaled carbon monoxide and urine cotinine. [26]A1b A pragmatic three-arm randomized trial in 13 outpatient HIV clinics in Hanoi compared behavioral cessation interventions with and without pharmacotherapy, addressing the limited evidence on long-term cessation effectiveness in people with HIV in low- and middle-income settings. [9]A1b
Digital and remotely delivered interventions may improve reach, but their prognostic value depends on sustained abstinence rather than engagement alone. A primary-care randomized trial evaluated the Dejal@bot conversational chatbot against usual clinical practice. [53]A1b A systematic review and meta-analysis of conversational artificial-intelligence interventions specified sustained abstinence for at least 6 months as its primary outcome. [91] Among veterans experiencing homelessness, a comparative-effectiveness trial evaluated 4 weeks of mobile contingency management, 5 weeks of telehealth counseling, optional pharmacotherapy, and a longer-term financial incentive for abstinence at 3 months, with follow-up including biochemically verified abstinence. [84] Contingency management has also been systematically reviewed in smokers with depressive symptoms, with outcomes including abstinence, depressive symptoms, treatment adherence, and tobacco-related measures. [88]
Implementation, equity, and measurement
Health-system implementation influences the natural history of tobacco use by determining whether smokers are identified and offered treatment. In China, the randomized “WeChat WeQuit” medical-education program delivered cessation-training messages to health-care providers for 8 weeks and followed outcomes to 34 weeks, targeting low use of standard cessation practices. [51]A1b Proactive outreach through electronic health records was tested among smokers of low socioeconomic status to address disparities associated with slower declines in tobacco use. [47]A1b Digital outreach has also been evaluated for improving the completeness of smoking histories, an essential prerequisite for identifying patients eligible for cessation treatment and lung-cancer screening. [86]
Dental settings are relevant for smokeless-tobacco prognosis: a Pakistani pragmatic pilot evaluated dentist-delivered behavioral support, while process evaluation examined delivery and implementation of the intervention. [58]C4 At the population and health-system levels, reported barriers and facilitators include determinants that affect intervention access, delivery, and success across demographic groups. [99] Overall, the most favorable prognosis is associated with early treatment, biochemical or otherwise robust outcome assessment, continuity beyond the initial clinical encounter, and adaptation to social, psychiatric, oncologic, infectious-disease, and housing-related needs. [9]A1b[10]A1b[26]A1b[47]A1b[63]A1b[66]A1a[84][99]
| Clinical context | Prognostic signal or outcome horizon |
|---|---|
| Peri-operative smoking | Increased postoperative complication risk; abstinence assessed at surgery and 12 months. [66]A1a |
| Cancer diagnosis | Mortality reduction after cessation: 15–29% in lung cancer, 20% in head and neck cancer, and 24% in colorectal cancer. [28]D5 |
| Schizophrenia-spectrum disorders | Approximately twice the mortality and 10–25 years shorter life expectancy. [10]A1b |
| HIV care | Abstinence assessed with biochemical validation at 6 months in a South African combination-NRT trial; a Vietnamese pragmatic trial addressed longer-term effectiveness. [9]A1b[26]A1b |
| Homelessness and contingency management | Mobile intervention included 4 weeks of contingency management, 5 weeks of telehealth counseling, and an abstinence incentive at 3 months. [84] |
| Digital cessation | Conversational-AI evidence used sustained abstinence for at least 6 months as the primary outcome. [91] |
Special Populations and Pregnancy
- ▸Ask every pregnant patient about tobacco use and provide augmented, pregnancy-tailored counseling; the 2009 USPSTF recommendation was Grade A. [60]
- ▸Smoking during pregnancy is associated with miscarriage, congenital anomalies, sudden infant death syndrome, and impaired childhood lung function. [45]
- ▸The 2021 evidence review evaluated behavioral interventions, pharmacotherapy, and electronic cigarettes in pregnant persons, but the supplied evidence does not establish a preferred medication or electronic-cigarette strategy. [46]
- ▸Depression or anxiety, postpartum-depression symptoms, co-occurring substance use, partner context, cultural identity, and resource setting should inform individualized cessation support. [36][72][73][74][75][101]
Pregnancy: clinical importance and universal identification
Tobacco use in pregnancy is a major preventable health concern. Smoking during pregnancy is associated with adverse pregnancy outcomes, including miscarriage and congenital anomalies, and with complications in offspring such as sudden infant death syndrome and impaired childhood lung function. Among U.S. women who gave birth in 2016, 7.2% reported smoking cigarettes during pregnancy. [45]A1c The 2009 U.S. Preventive Services Task Force (USPSTF) recommendation advised clinicians to ask all pregnant women about tobacco use and provide augmented, pregnancy-tailored counseling to those who smoke; this was classified as a Grade A recommendation. [60]A1c
The 2021 USPSTF statement continued to address tobacco cessation interventions in adults, including pregnant persons. [45]A1c Its accompanying evidence review evaluated behavioral interventions, pharmacotherapy, and electronic cigarettes for cessation among adults, including pregnant persons, using systematic reviews and randomized clinical trials identified through September 25, 2020. [46]A1a Accordingly, tobacco-use assessment should be incorporated into routine prenatal care, with counseling adapted to pregnancy and repeated opportunities for cessation support. [45]A1c[60]A1c
Behavioral support and treatment selection
Pregnancy-tailored counseling is the most clearly supported intervention in the supplied recommendations. [60]A1c Counseling should be individualized to the pregnant person's tobacco product, readiness to stop, social circumstances, and coexisting mental-health or substance-use concerns; however, the references supplied here do not establish that any particular counseling format, medication, dose, or electronic-cigarette product is preferred during pregnancy. The 2021 evidence review specifically examined pharmacotherapy and electronic cigarettes, but the supplied abstract does not provide comparative efficacy or safety estimates for these options in pregnant persons. [46]A1a
Clinicians should therefore avoid assuming that electronic cigarettes are harmless or equivalent to evidence-based cessation treatment during pregnancy. Electronic-cigarette use was specifically included among the interventions reviewed by the USPSTF evidence report, and concerns about use among women of child-bearing age have been highlighted in perinatal research. [46]A1a[100] Counseling should focus on cessation of tobacco exposure rather than substituting one unproven or potentially harmful product for another. This statement is a clinical interpretation of the scope of the cited evidence, not a claim that the supplied references establish a definitive risk estimate for electronic cigarettes. [46]A1a[100]
Mental health and postpartum considerations
Mental-health symptoms may identify a group requiring enhanced, coordinated cessation support. In a population-based analysis of 34,633 women with live births from the 2009–2011 Pregnancy Risk Assessment Monitoring System, smoking before and during pregnancy and prenatal cessation were compared between women reporting depression or anxiety and those not reporting these conditions. [73]C4 The study was cross-sectional and observational; therefore, it describes associations and cessation patterns rather than proving that depression or anxiety causes continued smoking or that treatment of either condition produces cessation. [73]C4
Postpartum mental health should also be considered when maintaining cessation support after delivery. A 2025 PRAMS analysis included 218,128 mothers from 2015–2020 and examined associations between recent tobacco use and levels of postpartum-depression symptoms using multinomial regression and sensitivity analyses for unmeasured confounding. [36]C4 Because this was a cross-sectional analysis, the reported associations should not be interpreted as evidence of causality. [36]C4 Nonetheless, tobacco status and postpartum-depression symptoms should be assessed together when planning continued behavioral support. [36]C4
Co-occurring alcohol or other substance use
Pregnant women who use alcohol or other psychoactive substances represent a particularly vulnerable population. A systematic-review protocol reported tobacco-use prevalence estimates of 71%–95% among pregnant women with co-occurring substance-use problems and noted that relatively few successfully stop smoking during pregnancy despite the availability of evidence-based cessation treatments. [72]D5 The cited article is a protocol, not a completed effectiveness review; it therefore identifies an evidence gap and does not establish the superiority of a specific behavioral or pharmacological intervention for this group. [72]D5 Assessment and treatment planning should address tobacco use alongside other substance use rather than treating cessation in isolation. [72]D5
Social, cultural, and geographic considerations
Interventions should be adapted for populations experiencing social or health inequities. A Romanian formative study of 143 pregnant women examined partner support and relationship characteristics as potential correlates of smoking cessation during pregnancy; it was conducted to inform development of a couple-focused cessation trial, so it does not demonstrate the effectiveness of couple-based treatment. [74]C4 Partner involvement may nevertheless be considered when desired by the pregnant person and when it is safe and supportive. [74]C4
Among Alaska Native and American Indian women, tobacco use during pregnancy was identified as prevalent, including cigarette smoking and smokeless tobacco use such as Iqmik. A social-marketing intervention developed culturally relevant communication messages through qualitative focus groups and interviews (n=60) followed by quantitative survey interviews (n=52). [101]D This work describes message development rather than cessation efficacy; culturally grounded, community-informed communication should therefore be viewed as an implementation strategy, not as proven standalone treatment. [101]D
Evidence and policy transfer to low- and middle-income countries (LMICs) require caution. A qualitative case study reported limited evidence for interventions to reduce tobacco use among pregnant women in LMICs and examined how health-economic evidence, largely produced in high-income countries, might inform policy. [75]D5 Resource availability, local tobacco products, health-system capacity, and cultural context should be considered when adapting pregnancy cessation programs. [75]D5
| Population or context | Evidence-informed consideration |
|---|---|
| Pregnancy | Universal tobacco-use assessment and augmented, pregnancy-tailored counseling are recommended. [60]A1c |
| Depression or anxiety | Smoking and prenatal cessation patterns should be assessed alongside mental health; the cited study was observational. [73]C4 |
| Postpartum period | Consider tobacco status and postpartum-depression symptoms together; the cited analysis was cross-sectional. [36]C4 |
| Co-occurring substance use | Tobacco prevalence may be very high; evidence for specifically targeted treatments remains limited in the supplied protocol. [72]D5 |
| Alaska Native/American Indian communities | Use culturally relevant, community-informed messaging; the cited study evaluated message development, not cessation efficacy. [101]D |
| LMICs | Adapt interventions to local evidence, economics, resources, and context. [75]D5 |
Prevention, Screening and Health Maintenance
- ▸Document all tobacco and nicotine-product use routinely; incomplete electronic records can restrict cessation treatment and lung cancer screening. [86]
- ▸Combine behavioral counseling with pharmacotherapy and arrange follow-up, particularly after hospitalization or surgery. [25,26,49,63,84,102,104]
- ▸Integrate cessation into oncology, HIV, mental-health, homelessness, vascular-surgery, and primary-care services. [26,49,50,84,85,103,104,107]
- ▸Cancer cessation after diagnosis is associated with lower mortality, including reported reductions of 15–29% in lung cancer, 20% in head and neck cancer, and 24% in colorectal cancer. [28]
- ▸Address smokeless tobacco and novel nicotine products explicitly; evidence for adolescents and young adults should not be extrapolated uncritically from conventional-cigarette studies. [102,106]
Preventive assessment and documentation
Tobacco use should be assessed and documented systematically at healthcare encounters, including combustible cigarettes, smokeless tobacco, e-cigarettes, heated tobacco, and other nicotine products, because incomplete smoking histories in the electronic medical record can limit access to cessation care and lung cancer screening. [86] Patient-generated health data may improve documentation: a pragmatic randomized trial among English-preferring adults aged 50–80 years with a history of tobacco use compared electronic portal questionnaires with SMS text-message surveys and evaluated message framing and completeness of smoking histories. [86] The supplied abstract does not report the comparative results; therefore, digital collection should complement, rather than replace, clinical verification. [86]
Assessment should also identify populations with elevated barriers or tobacco burden, including people living with HIV, patients with cancer, adults with serious mental illness, veterans experiencing homelessness, surgical patients, and people using smokeless or noncombustible nicotine products. [26]A1b[49]A1a[50]A1b[84][102][104][106][107] National ambulatory-care data indicate that smokers with behavioral-health and substance-use conditions may not receive cessation treatment consistently during healthcare visits, underscoring the need to integrate tobacco treatment into routine care rather than restricting it to dedicated cessation encounters. [107]
Brief intervention and treatment delivery
Every identified tobacco user should receive clear cessation advice, assessment of readiness, assistance with a quit plan, and follow-up; counseling should be combined with evidence-based pharmacotherapy when clinically appropriate. The evidence supplied supports multicomponent approaches that integrate behavioral counseling, medication, and structured follow-up across clinical settings. [26]A1b[49]A1a[50]A1b[63]A1b[76]A1a[84][102][104]
Hospitalization and surgery are important opportunities to initiate treatment, but intervention must continue after discharge. In the Helping Hand 2 randomized clinical trial, 1,357 daily smokers hospitalized at three hospitals received in-hospital counseling and were randomized to sustained post-discharge care or standard care; sustained care began at discharge and incorporated referral to a telephone quitline. [63]A1b A pooled analysis of two randomized trials involving 878 hospitalized smokers evaluated automated interactive voice-response calls after discharge; all participants had received hospital counseling and planned to stop smoking. [25]B2b These studies support using quitlines, automated calls, and other longitudinal contacts to maintain treatment after the patient leaves the hospital. [25]B2b[63]A1b
Health-professional education is a systems-level prevention strategy. A systematic review and meta-analysis of 28 randomized trials involving 4,343 health-professional students and 3,122 patients found that tobacco-dependence education was evaluated across 16 health-professional programs, with outcomes including student knowledge, self-efficacy, delivery of cessation interventions, and patient cessation. [76]A1a Training should therefore be embedded in entry-level professional education and reinforced through clinical workflows. [76]A1a Underbilling for eligible cessation counseling has also been identified as a systems problem in a retrospective analysis of an eight-hospital health system, suggesting that accurate coding and reimbursement processes may help support implementation. [103]
Special populations
For people with HIV, intensive counseling plus combination nicotine-replacement therapy (nicotine patch augmented by nicotine gum) was tested against intensive counseling alone in an open-label randomized trial in South Africa. [26]A1b The trial randomized 280 participants and assessed abstinence at six months using self-report with biochemical validation by exhaled carbon monoxide and urine cotinine. [26]A1b HIV clinics may be suitable venues for integrated tobacco-dependence treatment; a Vietnam case study describes adaptation and implementation evaluation of cessation interventions within outpatient HIV clinics, where cessation services were previously unavailable. [85]
Cancer care should include cessation intervention at diagnosis and throughout treatment. A systematic review and meta-analysis of randomized trials evaluated cessation interventions among patients and caregivers affected by non-respiratory cancers, including breast, prostate, colorectal, cervical, and bladder cancers. [49]A1a An umbrella review of 12 meta-analyses reported that cessation after cancer diagnosis was associated with lower mortality, including reductions of 15–29% in lung cancer, 20% in head and neck cancer, and 24% in colorectal cancer; suggestive benefits were also reported for breast, bladder, and gastrointestinal cancers. [28]D5 Continued tobacco use after cancer diagnosis remains common in India: a systematic review identified 20 observational studies estimating post-diagnosis use of smoking, smokeless tobacco, or both among adults with cancer. [17]B2a
Adults experiencing homelessness may benefit from low-barrier, technology-enabled care. In a randomized comparative-effectiveness trial of 127 veterans experiencing homelessness, mobile contingency management included four weeks of mobile incentives, five weeks of telehealth counseling, and optional 12-week pharmacotherapy; standard care consisted of three biweekly group sessions and clinically appropriate pharmacotherapy. [84] Participants were also randomized to a $100 longer-term financial incentive for abstinence at three months. [84]
Adults with serious mental illness require combined behavioral and pharmacological support. A pilot randomized trial used game-based group physical activity three times weekly for 12 weeks alongside counseling and pharmacotherapy, compared with sedentary games; among 48 participants, baseline smoking averaged 56.3 cigarettes per week and smoking declined by an average linear rate of 2.9 cigarettes per week. [50]A1b The pilot design and small sample require cautious interpretation. [50]A1b
Digital, smokeless-tobacco, and novel-product cessation
Digital cessation tools may be offered as self-management aids or adjuncts to counseling. An umbrella review assessed long-term effectiveness and adherence of standalone text messaging, smartphone applications, internet programs, and artificial-intelligence-based modalities, defining long-term outcomes as at least six months; 45 systematic reviews were qualitatively synthesized using AMSTAR-2. [87] The supplied abstract does not establish that one digital modality is superior, so digital care should be selected according to access, preference, adherence, and clinical need. [87]
Smokeless-tobacco cessation is an essential component of health maintenance because smokeless tobacco is associated with serious adverse outcomes, including oral cancer and myocardial disorders. [102] A systematic review identified 59 intervention studies involving approaches such as brief advice, quitlines, nicotine-replacement therapy, bupropion, varenicline, and mHealth interventions. [102] Evidence should be individualized by product, dependence severity, and availability of pharmacotherapy. [102]
For adolescents and young adults aged 15–25 years, cessation of e-cigarettes, heated tobacco, and smokeless nicotine products should be addressed separately from prevention of initiation. A systematic review specifically evaluated randomized trials of cessation interventions for these noncombustible products and excluded studies focused on preventing initiation or conventional-cigarette cessation. [106] The evidence base remains distinct from adult cigarette-cessation evidence and should not be assumed to be interchangeable. [106]
| Clinical opportunity | Intervention elements | Supporting evidence |
|---|---|---|
| Routine care and screening workflows | Verify tobacco history; use portal or SMS collection as an adjunct; document product type and current use | [86] |
| Hospitalization and surgery | Begin counseling before discharge; continue with quitline referral, IVR calls, telehealth, and medication | [25]B2b[63]A1b[104] |
| Cancer care | Offer structured cessation treatment at diagnosis and throughout treatment; include caregivers where relevant | [28]D5[49]A1a |
| HIV care | Combine intensive counseling with patch-plus-gum nicotine replacement when appropriate; embed services in HIV clinics | [26]A1b[85] |
| Homelessness and serious mental illness | Use low-barrier telehealth, contingency management, counseling, pharmacotherapy, and activity-based group support | [50]A1b[84] |
| Smokeless and novel products | Tailor treatment to product and age; consider counseling, quitlines, pharmacotherapy, and digital support | [87][102][106] |
References
- [1]
Carr AB, Ebbert J. “Interventions for tobacco cessation in the dental setting.” The Cochrane database of systematic reviews (2012). PMID: 22696348 ↗
L1SR_OBSCited in: Definition, Classification and Nomenclature, Long-term and Definitive Management, Prognosis and Natural History - [2]
Holliday R, Hong B, McColl E et al.. “Interventions for tobacco cessation delivered by dental professionals.” The Cochrane database of systematic reviews (2021). PMID: 33605440 ↗
L1SR_OBSCited in: Definition, Classification and Nomenclature, Long-term and Definitive Management, Prognosis and Natural History - [3]
Grimshaw GM, Stanton A. “Tobacco cessation interventions for young people.” The Cochrane database of systematic reviews (2006). PMID: 17054164 ↗
L1SR_OBSCited in: Definition, Classification and Nomenclature, Epidemiology, Etiology and Risk Factors, Long-term and Definitive Management, Prognosis and Natural History, Prevention, Screening and Health Maintenance - [4]
Apollonio D, Philipps R, Bero L. “Interventions for tobacco use cessation in people in treatment for or recovery from substance use disorders.” The Cochrane database of systematic reviews (2016). PMID: 27878808 ↗
L1SR_OBSCited in: Definition, Classification and Nomenclature, Diagnosis and Workup, Long-term and Definitive Management - [5]
Vijayaraghavan M, Elser H, Frazer K et al.. “Interventions to reduce tobacco use in people experiencing homelessness.” The Cochrane database of systematic reviews (2020). PMID: 33284989 ↗
L1SR_OBSCited in: Definition, Classification and Nomenclature, Severity, Staging and Risk Stratification - [6]
Shen X, Bachyrycz A, Anderson JR et al.. “Quitting patterns and predictors of success among participants in a tobacco cessation program provided by pharmacists in New Mexico.” Journal of managed care & specialty pharmacy (2014). PMID: 24856596 ↗
L4OTHERCited in: Definition, Classification and Nomenclature - [7]
Chiseya LS, Myers B. “"Cigarettes led me back to smoking tik": lived experience perspectives on tobacco use during substance use treatment and recovery in South Africa.” Addiction science & clinical practice (2026). PMID: 41821057 ↗
L5OTHERCited in: Pathophysiology and Mechanism - [8]
Martinez Leal I, Taing M, Correa-Fernández V et al.. “Addressing Smoking Cessation among Women in Substance Use Treatment: A Qualitative Approach to Guiding Tailored Interventions.” International journal of environmental research and public health (2021). PMID: 34072064 ↗
L5OTHERCited in: Pathophysiology and Mechanism - [9]
Shelley D, Armstrong-Hough M, Nguyen T et al.. “Effectiveness of behavioural tobacco cessation interventions with and without pharmacotherapy among people living with HIV in Viet Nam: a three-arm pragmatic randomised controlled trial.” The Lancet. Global health (2026). PMID: 41713442 ↗
L1RCTCited in: Epidemiology, Etiology and Risk Factors, Long-term and Definitive Management, Prognosis and Natural History - [10]
Rajalu BM, Jayarajan D, Muliyala KP et al.. “Effectiveness of personalized tobacco cessation intervention package among patients with schizophrenia and related psychotic disorders - A two-group experimental study.” Asian journal of psychiatry (2023). PMID: 36652840 ↗
L1RCTCited in: Epidemiology, Etiology and Risk Factors, History and Evolution of Treatment, Prognosis and Natural History - [11]
Awaisu A, Nik Mohamed MH, Mohamad Noordin N et al.. “The SCIDOTS Project: evidence of benefits of an integrated tobacco cessation intervention in tuberculosis care on treatment outcomes.” Substance abuse treatment, prevention, and policy (2011). PMID: 21943384 ↗
L2RCTCited in: Epidemiology, Etiology and Risk Factors, Diagnosis and Workup - [12]
Stanton A, Grimshaw G. “Tobacco cessation interventions for young people.” The Cochrane database of systematic reviews (2013). PMID: 23975659 ↗
L1SR_OBSCited in: Epidemiology, Etiology and Risk Factors, Long-term and Definitive Management, Prognosis and Natural History, Prevention, Screening and Health Maintenance - [13]
Wipfli H, Arinaitwe J, Goma F et al.. “A phone-based tobacco use cessation program for people living with HIV in Uganda and Zambia: study protocol for a randomized controlled trial.” Addiction science & clinical practice (2024). PMID: 38243301 ↗
L5TRIAL_NONRANDOMCited in: Epidemiology, Etiology and Risk Factors, Long-term and Definitive Management - [14]
Rasmussen M, Larsson M, Gilljam H et al.. “Effectiveness of tobacco cessation interventions for different groups of tobacco users in Sweden: a study protocol for a national prospective cohort study.” BMJ open (2022). PMID: 35078840 ↗
L5TRIAL_NONRANDOMCited in: Epidemiology, Etiology and Risk Factors, Long-term and Definitive Management - [15]
Mahabee-Gittens EM, Gordon J. “Acceptability of tobacco cessation interventions in the pediatric emergency department.” Pediatric emergency care (2008). PMID: 18431218 ↗
L4RCTCited in: Epidemiology, Etiology and Risk Factors, Acute Management - [16]
Heshmati J, Abraham A, Miles J et al.. “Tobacco cessation strategies in military personnel: A meta-analysis of randomized trials.” Preventive medicine reports (2025). PMID: 41477657 ↗
L1SR_OBSCited in: Epidemiology, Etiology and Risk Factors - [17]
Rajan V, Muralikrishnan S, Nagappa B et al.. “Continued tobacco use beyond cancer diagnosis in India - A systematic review and meta-analysis.” Journal of cancer policy (2025). PMID: 40484231 ↗
L2SR_OBSCited in: Epidemiology, Etiology and Risk Factors, Diagnosis and Workup, Prevention, Screening and Health Maintenance - [18]
Han B, Aung TW, Volkow ND et al.. “Tobacco Use, Nicotine Dependence, and Cessation Methods in US Adults With Psychosis.” JAMA network open (2023). PMID: 36976558 ↗
L4OTHERCited in: Clinical Presentation, Diagnosis and Workup, Severity, Staging and Risk Stratification - [19]
Reed D, Danberry K. “Smokeless Tobacco Cessation in an Emergency Room in Rural West Virginia.” Frontiers in public health (2022). PMID: 35462820 ↗
L4OTHERCited in: Clinical Presentation, Acute Management - [20]
Irwin KE, Steffens EB, Yoon Y et al.. “Lung Cancer Screening Eligibility, Risk Perceptions, and Clinician Delivery of Tobacco Cessation Among Patients With Schizophrenia.” Psychiatric services (Washington, D.C.) (2019). PMID: 31357921 ↗
L4OTHERCited in: Clinical Presentation - [21]
Rodríguez-Esquivel D, Cooper TV, Blow J et al.. “Characteristics associated with smoking in a Hispanic sample.” Addictive behaviors (2009). PMID: 19394148 ↗
L4OTHERCited in: Clinical Presentation, Complications - [22]
Wichman ML, Wall DM, Garcia Mota SS et al.. “Perspectives on Using Pharmacogenomics to Guide Tobacco Cessation: Survey Results From an American Indian Community.” Clinical and translational science (2025). PMID: 40078094 ↗
L4OTHERCited in: Clinical Presentation - [23]
Rogova A, Reitzel LR, Lowenstein LM et al.. “Implementation of a hybrid lung health program for Northeast Texas: study protocol.” Implementation science communications (2026). PMID: 41709306 ↗
L5OTHERCited in: Clinical Presentation - [24]
Thomas T, Pradeep Raj J, Pinheiro T et al.. “Effectiveness of tobacco cessation interventions and risk factors for tobacco-use relapse: A cohort study.” The National medical journal of India (2026). PMID: 42240507 ↗
L4COHORTCited in: Clinical Presentation - [25]
Rigotti NA, Chang Y, Rosenfeld LC et al.. “Interactive Voice Response Calls to Promote Smoking Cessation after Hospital Discharge: Pooled Analysis of Two Randomized Clinical Trials.” Journal of general internal medicine (2017). PMID: 28616847 ↗
L2RCTCited in: Diagnosis and Workup, Long-term and Definitive Management, History and Evolution of Treatment, Prevention, Screening and Health Maintenance - [26]
Elf JL, Lebina L, Motlhaoleng K et al.. “A randomized trial for combination nicotine replacement therapy for smoking cessation among people with HIV in a low-resourced setting.” AIDS (London, England) (2024). PMID: 39693492 ↗
L1RCTCited in: Diagnosis and Workup, Long-term and Definitive Management, History and Evolution of Treatment, Prognosis and Natural History, Prevention, Screening and Health Maintenance - [27]
Carr AB, Ebbert JO. “Interventions for tobacco cessation in the dental setting.” The Cochrane database of systematic reviews (2006). PMID: 16437517 ↗
L1SR_OBSCited in: Diagnosis and Workup, Long-term and Definitive Management - [28]
Petrelli F, Ghidini A, Rossitto M et al.. “An umbrella review of meta-analyses on smoking cessation and cancer survival: a brief report.” Lung cancer (Amsterdam, Netherlands) (2025). PMID: 41005236 ↗
L5SR_OBSCited in: Diagnosis and Workup, Prevention, Screening and Health Maintenance - [29]
Carr AB, Ebbert JO. “Interventions for tobacco cessation in the dental setting. A systematic review.” Community dental health (2007). PMID: 17615820 ↗
L1SR_OBSCited in: Diagnosis and Workup - [30]
Yu LQ, Amato MS, Papandonatos GD et al.. “Predicting Early Dropout in a Digital Tobacco Cessation Intervention: Replication and Extension Study.” Journal of medical Internet research (2024). PMID: 39602788 ↗
L3OTHERCited in: Diagnosis and Workup - [31]
Thielking AM, Fitzmaurice KP, Sewpaul R et al.. “Tobacco smoking, smoking cessation and life expectancy among people with HIV on antiretroviral therapy in South Africa: a simulation modelling study.” Journal of the International AIDS Society (2024). PMID: 38924347 ↗
L2OTHERCited in: Diagnosis and Workup - [32]
Crosland P, Scollo M, White SL et al.. “Cost-effectiveness and productivity impacts of call-back telephone counselling for smoking cessation.” Public health research & practice (2023). PMID: 37287193 ↗
L2OTHERCited in: Diagnosis and Workup - [33]
Jeyashree K, Kathirvel S, Shewade HD et al.. “Smoking cessation interventions for pulmonary tuberculosis treatment outcomes.” The Cochrane database of systematic reviews (2016). PMID: 26777994 ↗
L1SR_OBSCited in: Severity, Staging and Risk Stratification, Long-term and Definitive Management - [34]
Mullen KA, Garg A, Gagnon F et al.. “The INITIATE trial protocol: a randomized controlled trial testing the effectiveness of a "quit card" intervention on long-term abstinence among tobacco smokers presenting to the emergency department.” Trials (2021). PMID: 34688291 ↗
L5TRIAL_NONRANDOMCited in: Severity, Staging and Risk Stratification, Acute Management - [35]
Qin A, Wang M, Qi Y et al.. “Is tobacco dependence a moderator of psychiatric symptom severity and caregiver abuse in rural families of patients with severe mental disorders?” Psychological medicine (2025). PMID: 41310965 ↗
L4OTHERCited in: Severity, Staging and Risk Stratification - [36]
Beckodro CK, Conteh V, Nsitou B et al.. “Tobacco smoking and postpartum depression symptoms in the Pregnancy Risk Assessment and Monitoring System (PRAMS) study.” Journal of affective disorders (2025). PMID: 40288456 ↗
L4OTHERCited in: Severity, Staging and Risk Stratification, Special Populations and Pregnancy - [37]
Ripley GH, Carlin VE, Deyo AG et al.. “Severity of Disability-Related Functional Difficulties and Tobacco Use Patterns in a National Sample of U.S. Veterans.” Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2026). PMID: 42372058 ↗
L4OTHERCited in: Severity, Staging and Risk Stratification - [38]
Melzer AC, Feemster LC, Crothers K et al.. “Respiratory and Bronchitic Symptoms Predict Intention to Quit Smoking among Current Smokers with, and at Risk for, Chronic Obstructive Pulmonary Disease.” Annals of the American Thoracic Society (2016). PMID: 27268422 ↗
L4OTHERCited in: Severity, Staging and Risk Stratification - [39]
Walters EL, Reibling ET, Wilber ST et al.. “Emergency department provider preferences related to clinical practice guidelines for tobacco cessation: a multicenter survey.” Academic emergency medicine : official journal of the Society for Academic Emergency Medicine (2014). PMID: 25112653 ↗
L4GUIDELINECited in: Acute Management, Generalist Reasoning under Diagnostic Uncertainty, Point-of-Care Scores & Referral Thresholds - [40]
Christiansen BA, Brooks M, Keller PA et al.. “Closing tobacco-related disparities: Using community organizations to increase consumer demand.” American journal of preventive medicine (2010). PMID: 20176314 ↗
L1RCTCited in: Acute Management - [41]
Plever S, Kisely SR, Bonevski B et al.. “Interventions for smoking cessation in inpatient psychiatry settings.” The Cochrane database of systematic reviews (2026). PMID: 42389948 ↗
L1SR_OBSCited in: Acute Management, Long-term and Definitive Management - [42]
Pelletier JH, Strout TD, Baumann MR. “A systematic review of smoking cessation interventions in the emergency setting.” The American journal of emergency medicine (2014). PMID: 24768666 ↗
L5SR_OBSCited in: Acute Management, Generalist Reasoning under Diagnostic Uncertainty, Point-of-Care Scores & Referral Thresholds - [43]
Russell AM, Colditz JB, Barry AE et al.. “Analyzing Twitter Chatter About Tobacco Use Within Intoxication-related Contexts of Alcohol Use: "Can Someone Tell Me Why Nicotine is So Fire When You're Drunk?".” Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2022). PMID: 34562100 ↗
L5OTHERCited in: Acute Management - [44]
Mullen KA, Manuel DG, Hawken SJ et al.. “Effectiveness of a hospital-initiated smoking cessation programme: 2-year health and healthcare outcomes.” Tobacco control (2016). PMID: 27225016 ↗
L2OTHERCited in: Acute Management - [45]
Krist AH, Davidson KW, Mangione CM et al.. “Interventions for Tobacco Smoking Cessation in Adults, Including Pregnant Persons: US Preventive Services Task Force Recommendation Statement.” JAMA (2021). PMID: 33464343 ↗
L1GUIDELINECited in: Long-term and Definitive Management, History and Evolution of Treatment, Complications, Special Populations and Pregnancy - [46]
Patnode CD, Henderson JT, Coppola EL et al.. “Interventions for Tobacco Cessation in Adults, Including Pregnant Persons: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.” JAMA (2021). PMID: 33464342 ↗
L1SR_OBSCited in: Long-term and Definitive Management, Special Populations and Pregnancy - [47]
Haas JS, Linder JA, Park ER et al.. “Proactive tobacco cessation outreach to smokers of low socioeconomic status: a randomized clinical trial.” JAMA internal medicine (2015). PMID: 25506771 ↗
L1RCTCited in: Long-term and Definitive Management, History and Evolution of Treatment, Prognosis and Natural History, Prevention, Screening and Health Maintenance - [48]
Duffy SA, Karvonen-Gutierrez CA, Ewing LA et al.. “Implementation of the Tobacco Tactics program in the Department of Veterans Affairs.” Journal of general internal medicine (2010). PMID: 20077145 ↗
L2RCTCited in: Long-term and Definitive Management - [49]
Dhumal T, Kelly KM, Khadka S et al.. “Tobacco Cessation Interventions in Non-Respiratory Cancers: A Systematic Review With Meta-analysis of Randomized Controlled Trials.” Annals of behavioral medicine : a publication of the Society of Behavioral Medicine (2024). PMID: 38985846 ↗
L1SR_MA_RCTCited in: Long-term and Definitive Management, Prevention, Screening and Health Maintenance - [50]
Leutwyler H, Hubbard E, Bussell T et al.. “A Pilot Randomized Controlled Trial of a Multicomponent Smoking Cessation Intervention for Adults with Serious Mental Illness.” Games for health journal (2024). PMID: 39587943 ↗
L1RCTCited in: Long-term and Definitive Management, History and Evolution of Treatment, Prevention, Screening and Health Maintenance - [51]
Wang Y, Peng P, Wu Z et al.. “Boosting Smoking Cessation Intervention Utilization in Chinese Health Care Providers: A Randomized Controlled Trial of the "WeChat WeQuit" Medical Education Program.” Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2024). PMID: 39083005 ↗
L1RCTCited in: Long-term and Definitive Management, History and Evolution of Treatment, Prognosis and Natural History - [52]
Hartmann-Boyce J, Lindson N. “Assessing and minimizing risk of bias in randomized controlled trials of tobacco cessation interventions: Guidance from the Cochrane Tobacco Addiction Group.” Addiction (Abingdon, England) (2023). PMID: 37132075 ↗
L5RCTCited in: Long-term and Definitive Management - [53]
Olano-Espinosa E, Avila-Tomas JF, Minue-Lorenzo C et al.. “Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care.” JMIR mHealth and uHealth (2022). PMID: 35759328 ↗
L1RCTCited in: Long-term and Definitive Management, History and Evolution of Treatment, Prognosis and Natural History - [54]
Fanshawe TR, Halliwell W, Lindson N et al.. “Tobacco cessation interventions for young people.” The Cochrane database of systematic reviews (2017). PMID: 29148565 ↗
L1SR_OBSCited in: Long-term and Definitive Management, Prognosis and Natural History, Prevention, Screening and Health Maintenance - [55]
Maziak W, Jawad M, Jawad S et al.. “Interventions for waterpipe smoking cessation.” The Cochrane database of systematic reviews (2015). PMID: 26228266 ↗
L1SR_OBSCited in: Long-term and Definitive Management, Prognosis and Natural History, Prevention, Screening and Health Maintenance - [56]
Asfar T, Livingstone-Banks J, Ward KD et al.. “Interventions for waterpipe smoking cessation.” The Cochrane database of systematic reviews (2023). PMID: 37286509 ↗
L1SR_OBSCited in: Long-term and Definitive Management, Prognosis and Natural History, Prevention, Screening and Health Maintenance - [57]
Maziak W, Ward KD, Eissenberg T. “Interventions for waterpipe smoking cessation.” The Cochrane database of systematic reviews (2007). PMID: 17943865 ↗
L1SR_OBSCited in: Long-term and Definitive Management, Prognosis and Natural History - [58]
Rasool S, Dobbie F, Khan Z et al.. “Process evaluation of a pragmatic feasibility trial on smokeless tobacco cessation intervention delivered in dental hospitals.” BMC public health (2024). PMID: 38755594 ↗
L4TRIAL_NONRANDOMCited in: Long-term and Definitive Management - [59]
Pradhan PMS, Funnell MP, Sagtani RA et al.. “Effectiveness of tobacco cessation interventions delivered in clinical settings in South Asia: a systematic review and meta-analysis.” Global health action (2026). PMID: 42394572 ↗
L1SR_OBSCited in: Long-term and Definitive Management, Prevention, Screening and Health Maintenance - [60]
. “Counseling and interventions to prevent tobacco use and tobacco-caused disease in adults and pregnant women: U.S. Preventive Services Task Force reaffirmation recommendation statement.” Annals of internal medicine (2009). PMID: 19380855 ↗
L1GUIDELINECited in: History and Evolution of Treatment, Special Populations and Pregnancy, Prevention, Screening and Health Maintenance - [61]
. “A clinical practice guideline for treating tobacco use and dependence: A US Public Health Service report. The Tobacco Use and Dependence Clinical Practice Guideline Panel, Staff, and Consortium Representatives.” JAMA (2000). PMID: 10866874 ↗
L1GUIDELINECited in: History and Evolution of Treatment - [62]
Lichtenstein E, Hollis JF, Severson HH et al.. “Tobacco cessation interventions in health care settings: rationale, model, outcomes.” Addictive behaviors (1996). PMID: 8904937 ↗
L5RCTCited in: History and Evolution of Treatment - [63]
Rigotti NA, Tindle HA, Regan S et al.. “A Post-Discharge Smoking-Cessation Intervention for Hospital Patients: Helping Hand 2 Randomized Clinical Trial.” American journal of preventive medicine (2016). PMID: 27647060 ↗
L1RCTCited in: History and Evolution of Treatment, Prognosis and Natural History, Prevention, Screening and Health Maintenance - [64]
Yuan NP, Castañeda H, Nichter M et al.. “Lay health influencers: how they tailor brief tobacco cessation interventions.” Health education & behavior : the official publication of the Society for Public Health Education (2011). PMID: 21986244 ↗
L4RCTCited in: History and Evolution of Treatment - [65]
King BA, Dube SR, Babb SD et al.. “Patient-reported recall of smoking cessation interventions from a health professional.” Preventive medicine (2013). PMID: 23872172 ↗
L4OTHERCited in: Generalist Reasoning under Diagnostic Uncertainty, Point-of-Care Scores & Referral Thresholds - [66]
Harrogate S, Barnes J, Thomas K et al.. “Peri-operative tobacco cessation interventions: a systematic review and meta-analysis.” Anaesthesia (2023). PMID: 37656151 ↗
L1SR_OBSCited in: Complications - [67]
Harrogate SR, Barnes JD, Gupta S et al.. “Protocol for a systematic review and meta-analysis of tobacco-cessation interventions delivered perioperatively.” BMJ open (2023). PMID: 37714672 ↗
L5SR_OBSCited in: Complications - [68]
Battalio SL, Pfammatter AF, Kershaw KN et al.. “Mobile Health Tobacco Cessation Interventions to Promote Health Equity: Current Perspectives.” Frontiers in digital health (2022). PMID: 35847415 ↗
L5OTHERCited in: Complications - [69]
Hwong AR, Schmittdiel J, Schillinger D et al.. “Smoking cessation treatment for individuals with comorbid diabetes and serious mental illness in an integrated health care delivery system.” Addictive behaviors (2020). PMID: 33129613 ↗
L3OTHERCited in: Complications - [70]
Veldheer S, Yingst J, Rogers AM et al.. “Completion rates in a preoperative surgical weight loss program by tobacco use status.” Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery (2017). PMID: 28392255 ↗
L4OTHERCited in: Complications - [71]
Sarkar BK, West R, Arora M et al.. “Effectiveness of a brief community outreach tobacco cessation intervention in India: a cluster-randomised controlled trial (the BABEX Trial).” Thorax (2016). PMID: 27708113 ↗
L1RCTCited in: Prognosis and Natural History - [72]
Jackson MA, Baker AL, McCarter KL et al.. “Interventions for pregnant women who use tobacco and other substances: a systematic review protocol.” BMJ open (2019). PMID: 31719091 ↗
L5SR_OBSCited in: Special Populations and Pregnancy - [73]
Tong VT, Farr SL, Bombard J et al.. “Smoking Before and During Pregnancy Among Women Reporting Depression or Anxiety.” Obstetrics and gynecology (2016). PMID: 27500342 ↗
L4OTHERCited in: Special Populations and Pregnancy - [74]
Dascăl MD, Meghea CI, Blaga OM. “A Cross-Section Study of Relationship Characteristics and Smoking Cessation During Pregnancy in a Sample of Romanian Pregnant Women.” Maternal and child health journal (2020). PMID: 32048171 ↗
L4OTHERCited in: Special Populations and Pregnancy - [75]
Saygın Avşar T, Jackson L, McLeod H. “Potential for health economics to influence policies on tobacco use during pregnancy in low-income and middle-income countries: a qualitative case study.” BMJ open (2021). PMID: 34880008 ↗
L5OTHERCited in: Special Populations and Pregnancy - [76]
Hyndman K, Thomas RE, Schira HR et al.. “The Effectiveness of Tobacco Dependence Education in Health Professional Students' Practice: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.” International journal of environmental research and public health (2019). PMID: 31661922 ↗
L1SR_MA_RCTCited in: Prevention, Screening and Health Maintenance - [77]
Fernandez ME, Schlechter CR, Del Fiol G et al.. “QuitSMART Utah: an implementation study protocol for a cluster-randomized, multi-level Sequential Multiple Assignment Randomized Trial to increase Reach and Impact of tobacco cessation treatment in Community Health Centers.” Implementation science : IS (2020). PMID: 32000812 ↗
L5TRIAL_NONRANDOMCited in: Prevention, Screening and Health Maintenance - [78]
Asfar T, Koru-Sengul T, Annane D et al.. “Reach versus effectiveness: The design and protocol of randomized clinical trial testing a smartphone application versus in-person mindfulness-based smoking cessation intervention among young cancer survivors.” Contemporary clinical trials communications (2021). PMID: 34222709 ↗
L1bCited in: Diagnosis and Workup - [79]
Hofmann P, Kohler M, Benden C et al.. “Tobacco Use After Lung Transplantation: A Retrospective Analysis of Patient Characteristics, Smoking Cessation Interventions, and Cessation Success Rates.” Transplantation (2019). PMID: 30747844 ↗
L3bCited in: Diagnosis and Workup - [80]
Awaisu A, Haniki Nik Mohamed M, Noordin NM et al.. “Impact of connecting tuberculosis directly observed therapy short-course with smoking cessation on health-related quality of life.” Tobacco induced diseases (2012). PMID: 22373470 ↗
L2bCited in: Diagnosis and Workup - [81]
Barrueco Ferrero M, Torrecilla García M, Hernández Mezquita MA et al.. “[Tobacco cessation. Action-stage result as a predictor of successful long-term maintenance].” Archivos de bronconeumologia (2007). PMID: 17386189 ↗
L2bCited in: Diagnosis and Workup - [82]
Rash CJ, Alessi SM, Foster N et al.. “Tobacco use patterns and clinical outcomes in the T1D exchange.” Journal of diabetes and its complications (2022). PMID: 35058139 ↗
L3bCited in: Diagnosis and Workup - [83]
Heath J, Butler KM, Anderson JG et al.. “Tobacco-Cessation Interventions and Attributes of Individual and Organizational Excellence in Acute Care.” American journal of critical care : an official publication, American Association of Critical-Care Nurses (2016). PMID: 27965230 ↗
L3bCited in: Acute Management - [84]
Wilson SM, Blalock DV, Young JR et al.. “Mobile health contingency management for smoking cessation among veterans experiencing homelessness: A comparative effectiveness trial.” Preventive medicine reports (2023). PMID: 37455761 ↗
L1bCited in: Long-term and Definitive Management - [85]
Shelley D, Alvarez GG, Nguyen T et al.. “Adapting a tobacco cessation treatment intervention and implementation strategies to enhance implementation effectiveness and clinical outcomes in the context of HIV care in Vietnam: a case study.” Implementation science communications (2022). PMID: 36253834 ↗
L1bCited in: Long-term and Definitive Management - [86]
Kearney LE, Jansen E, Kathuria H et al.. “Efficacy of Digital Outreach Strategies for Collecting Smoking Data: Pragmatic Randomized Trial.” JMIR formative research (2024). PMID: 38335012 ↗
L1bCited in: Long-term and Definitive Management - [87]
Di Palo MP, Di Spirito F, Garofano M et al.. “Effectiveness and Adherence of Standalone Digital Tobacco Cessation Modalities: A Systematic Review of Systematic Reviews.” Healthcare (Basel, Switzerland) (2025). PMID: 40941478 ↗
L2aCited in: Long-term and Definitive Management - [88]
Marchal-Mateos MI, López-Núñez C, Fernández-Artamendi S. “Effectiveness of Contingency Management in Tobacco Smokers with Depressive Symptoms: A Systematic Review.” Substance use & misuse (2024). PMID: 38268117 ↗
L2aCited in: Long-term and Definitive Management - [89]
Setchoduk K, Pichayapinyo P, Lapvongwatana P et al.. “The effectiveness of tobacco cessation programs for university students: A systematic review and meta-analysis.” Tobacco induced diseases (2023). PMID: 37275243 ↗
L2aCited in: Long-term and Definitive Management - [90]
Morris CD, Waxmonsky JA, May MG et al.. “Smoking reduction for persons with mental illnesses: 6-month results from community-based interventions.” Community mental health journal (2011). PMID: 21556784 ↗
L1bCited in: History and Evolution of Treatment - [91]
Bendotti H, Lawler S, Chan GCK et al.. “Conversational artificial intelligence interventions to support smoking cessation: A systematic review and meta-analysis.” Digital health (2023). PMID: 37928336 ↗
L1aCited in: History and Evolution of Treatment - [92]
Dent LA, Harris KJ, Noonan CW. “Randomized trial assessing the effectiveness of a pharmacist-delivered program for smoking cessation.” The Annals of pharmacotherapy (2009). PMID: 19193572 ↗
L1bCited in: History and Evolution of Treatment - [93]
Mishra GA, Majmudar PV, Gupta SD et al.. “Call centre employees and tobacco dependence: making a difference.” Indian journal of cancer (2010). PMID: 20622414 ↗
L1bCited in: History and Evolution of Treatment - [94]
Yahya T, Zaidi SAR, Arshad S et al.. “"Trends in diabetes mellitus and tobacco use disorder related mortality in the United States, 1999-2024: a CDC WONDER analysis".” Journal of diabetes and metabolic disorders (2026). PMID: 42539680 ↗
L3bCited in: Complications - [95]
Morris CD, Waxmonsky JA, May MG et al.. “What do persons with mental illnesses need to quit smoking? Mental health consumer and provider perspectives.” Psychiatric rehabilitation journal (2009). PMID: 19346206 ↗
L5Cited in: Complications - [96]
Cole J, Stevenson E, Walker R et al.. “Tobacco use and psychiatric comorbidity among adolescents in substance abuse treatment.” Journal of substance abuse treatment (2011). PMID: 22154026 ↗
L5Cited in: Complications - [97]
Alzahrane A, West R, Ubhi HK et al.. “Evaluations of clinical tobacco cessation interventions in Arab populations: A systematic review.” Addictive behaviors (2018). PMID: 30205256 ↗
L1aCited in: Prognosis and Natural History - [98]
Wray JM, Funderburk JS, Acker JD et al.. “A Meta-Analysis of Brief Tobacco Interventions for Use in Integrated Primary Care.” Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2018). PMID: 29059419 ↗
L2aCited in: Prognosis and Natural History - [99]
Sultana S, Inungu J, Jahanfar S. “Barriers and Facilitators of Tobacco Cessation Interventions at the Population and Healthcare System Levels: A Systematic Literature Review.” International journal of environmental research and public health (2025). PMID: 40566253 ↗
L2aCited in: Prognosis and Natural History - [100]
Hamilton WN, Masud N, Kouambo C et al.. “Perinatal Smoking and E-cigarette Use and Their Relationship with Breastfeeding: PRAMS 2015-2020.” Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine (2023). PMID: 37902988 ↗
L3bCited in: Special Populations and Pregnancy - [101]
Patten CA, Lando H, Resnicow K et al.. “Developing health communication messaging for a social marketing campaign to reduce tobacco use in pregnancy among Alaska Native women.” Journal of communication in healthcare (2018). PMID: 31548863 ↗
L5Cited in: Special Populations and Pregnancy - [102]
Nethan ST, Sinha DN, Chandan K et al.. “Smokeless tobacco cessation interventions: A systematic review.” The Indian journal of medical research (2018). PMID: 30666002 ↗
L2aCited in: Prevention, Screening and Health Maintenance - [103]
Baughman DJ, Rauhut M, Anselm E. “A Lost Opportunity in Tobacco Cessation Care: Impact of Underbilling in a Large Health System.” American journal of preventive medicine (2024). PMID: 39179184 ↗
L3bCited in: Prevention, Screening and Health Maintenance - [104]
Howard R, Albright J, Osborne N et al.. “Impact of a regional smoking cessation intervention for vascular surgery patients.” Journal of vascular surgery (2021). PMID: 34298118 ↗
L3bCited in: Prevention, Screening and Health Maintenance - [105]
Rui S, Cai Z, Wu J et al.. “Association Between Migraine and Frailty Among Middle-Aged and Older Adults: A Cross-Sectional Study Based on CHARLS.” Pain research & management (2025). PMID: 41367382 ↗
L3bCited in: Prevention, Screening and Health Maintenance - [106]
Bergman Rasmussen SK, Pisinger C. “Non-combustible nicotine product cessation interventions in adolescents and young adults: A systematic review.” Tobacco use insights (2024). PMID: 39610398 ↗
L1aCited in: Prevention, Screening and Health Maintenance - [107]
Geletko KW, Graves K, Hogans-Mathews S et al.. “Healthcare Visits by Smokers: Does Cessation Treatment Differ Based on Clinical Condition?” Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2024). PMID: 38847741 ↗
L3bCited in: Prevention, Screening and Health Maintenance