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Introduction: This study examined the effects of experimentally manipulated social media exposure on adolescents' willingness and intention to use e-cigarettes.Aims and Methods: Participants were 135 adolescents of age 13-18 (52.6% female, mean age = 15.3) in California. Participants viewed six social media posts online in a 2 (post source: peer or advertisement) × 2 (e-cigarette content exposure: heavy or light) between-subjects design. Analyses were weighted to population benchmarks. We examined adolescents' beliefs, willingness, and intention to use e-cigarettes in association with social media use intensity in daily life and with experimentally manipulated exposure to social media posts that varied by source (peer or advertisement) and content (e-cigarette heavy or light).Results: Greater social media use in daily life was associated with greater willingness and intention to use e-cigarettes and more positive attitudes, greater perceived norms, and lower perceived danger of e-cigarette use (all p-values <.01). In tests of the experimental exposures, heavy (vs. light) e-cigarette content resulted in greater intention (p = .049) to use e-cigarettes and more positive attitudes (p = .019). Viewing advertisements (vs. peer-generated posts) resulted in greater willingness and intention (p-values <.01) to use e-cigarettes, more positive attitudes (p = .003), and greater norm perceptions (p = .009). The interaction effect of post source by post content was not significant for any of the outcomes (all p-values >.529).Conclusions: Greater social media use and heavier exposure to advertisements and e-cigarette content in social media posts are associated with a greater risk for e-cigarette use among adolescents. Regulatory action is needed to prohibit sponsored e-cigarette content on social media platforms used by youth.Implications: Adolescents who use social media intensely may be at higher risk for e-cigarette use. Even brief exposure to e-cigarette content on social media was associated with greater intention to use and more positive attitudes toward e-cigarettes. Regulatory action should be taken to prohibit sponsored e-cigarette content on social media used by young people, including posts by influencers who appeal to young people. [ABSTRACT FROM AUTHOR]

Introduction: This trial investigated whether a Facebook smoking cessation intervention culturally tailored to young sexual and gender minority (SGM) smokers (versus non-tailored) would increase smoking abstinence.Methods: Participants were 165 SGM young adult US smokers (age 18-25) recruited from Facebook in April 2018 and randomized to an SGM-tailored (POP; N = 84) or non-tailored (TSP-SGM; N = 81) intervention. Interventions delivered weekly live counseling sessions and 90 daily Facebook posts to participants in Facebook groups. Primary analyses compared POP and TSP-SGM on biochemically verified smoking abstinence (yes/no; primary outcome), self-reported 7-day point prevalence abstinence (yes/no), reduction in cigarettes per week by 50+% from baseline (yes/no), making a quit attempt during treatment (yes/no), and stage of change (precontemplation/contemplation vs. preparation/action). Supplemental analyses compared POP to two historical control groups.Results: POP participants were more likely than TSP-SGM participants to report smoking abstinence at 3 (23.8% vs. 12.3%; OR = 2.50; p = .03) and 6 months (34.5% vs. 12.3%; OR = 4.06; p < .001) and reduction in smoking at 3 months (52.4% vs. 39.5%; OR = 2.11; p = .03). Biochemically verified smoking abstinence did not significantly differ between POP and TSP-SGM at 3 (OR = 2.00; p = .33) or 6 months (OR = 3.12; p = .08), potentially due to challenges with remote biochemical verification. In supplemental analyses, POP participants were more likely to report abstinence at 3 (OR = 6.82, p = .01) and 6 (OR = 2.75, p = .03) months and reduced smoking at 3 months (OR = 2.72, p = .01) than participants who received a referral to Smokefree.gov.Conclusions: This pilot study provides preliminary support for the effectiveness of a Facebook smoking cessation intervention tailored to SGM young adults.Implications: SGM individuals have disproportionately high smoking prevalence. It is unclear whether smoking cessation interventions culturally tailored to the SGM community are more effective than non-tailored interventions. This pilot trial found preliminary evidence that an SGM-tailored Facebook smoking cessation intervention increased reported abstinence from smoking, compared to a non-tailored intervention.Trial Registration: NCT03259360. [ABSTRACT FROM AUTHOR]

Introduction: Patients receiving medication assisted therapy (MAT) for opioid use disorder have high cigarette smoking rates. Cigarette smoking interventions have had limited success. We evaluated an intervention to increase cigarette abstinence rates in patients receiving buprenorphine-assisted therapy.Methods: Cigarette smokers (N = 175; 78% male; 69% Caucasian; 20% Hispanic), recruited from a buprenorphine clinic were randomly assigned to either an extended innovative system intervention (E-ISI) or to Standard Treatment Control (STC). The E-ISI combined motivational intervention with extended treatment (long-term nicotine replacement therapy , varenicline, and extended cognitive behavioral therapy). STC received written information about quit-lines, medication, and resources. Assessments were held at baseline and 3, 6, 12, and 18 months. Seven-day biochemically verified point-prevalence cigarette abstinence was the primary outcome measure.Results: Fifty-four percent of E-ISI participants entered the extended treatment intervention; E-ISI and STC differed at 3 months on abstinence status but not at months 6, 12, and 18. E-ISI participants were more likely to attempt to quit, to have a goal of complete abstinence, and to be in a more advanced stage of change than STC participants. A higher number of cigarettes smoked and the use of cannabis in the previous 30 days predicted continued smoking.Conclusions: The E-ISI was successful in increasing motivation to quit smoking but did not result in long-term abstinence. The failure of treatments that have been efficacious in the general population to produce abstinence in patients receiving MAT of opioid use disorder suggests that harm reduction and other innovative interventions should be explored.Implications: This study demonstrates that an intervention combining motivational interviewing with an extended treatment protocol can increase cigarette quit attempts, enhance cigarette abstinence goals, and further movement through stages of change about quitting smoking in patients receiving MAT for opioid use disorder who smoke cigarettes. The intervention did not increase abstinence rates over those observed in a standard treatment control, however. The latter finding supports those of earlier investigators who also failed to find efficacy for smoking cessation in this population and who also used interventions effective in the general population. This pattern of findings suggests that patients with opioid use disorder can be motivated to change smoking behavior, but alternative and innovative approaches to cigarette smoking treatment should be studied. [ABSTRACT FROM AUTHOR]

Introduction: Addiction treatment clients are more likely to die of tobacco-related diseases than of alcohol or illicit drug-related causes. We aimed to assess smoking behavior, and smoking-related attitudes and services, in New York addiction treatment programs before a statewide smoking ban in treatment facilities was implemented (2008), 1 year (2009) and 5 years after implementation (2013).Methods: We conducted surveys at each time point with clients (N = 329, 341, and 353, respectively) and staff (N = 202, 203, and 166, respectively) from five residential and two methadone maintenance programs in New York State. At each data collection wave, questionnaires measured smoking behavior as well as smoking-related knowledge, attitudes, and experiences with tobacco cessation services as part of addiction treatment.Results: Staff smoking prevalence decreased from 35.2% in 2008 to 21.8% in 2013 (P = .005) while client smoking prevalence over the same period was unchanged (68.1% vs. 66.0%, P = .564). Among clients who smoked, mean cigarettes per day decreased from 13.7 (SD = 8.38) to 10.2 (SD = 4.44; P < .001). There were significant time-by-treatment-type interactions for client tobacco-related attitudes and cessation services received; and for staff self-efficacy and cessation services provided. In residential programs, scores for most items decreased (became less positive) in 2009 followed by a partial rebound in 2013. Methadone program scores tended to rise (become more positive) throughout the study period.Conclusions: Staff and clients may respond differentially to tobacco-free policies depending on type of treatment program, and this finding may help to inform the implementation of tobacco-free policies in other statewide addiction treatment systems. [ABSTRACT FROM AUTHOR]

Introduction: Social smoking is an increasingly common pattern among emerging adults. Although distinct patterns have emerged between social smokers and non-social smokers, there is discrepancy about how to define the construct, with inconsistencies between self-identified social smoking and behavioral social smoking. We report prevalence and correlates of young adult smokers who self-identify and behave as social smokers (SELF + BEH), self-identified non-behavioral social smokers (SELF-ONLY), and non-social smokers (NON-SOCIAL). Methods: Young adults age 18-25 years who have smoked at least 1 cigarette in the past 30 days (N = 1,811) were recruited through Facebook for a national anonymous, online survey of tobacco and other substance use. Three social smoking items were used to categorize respondents into 1 of 3 smoking groups. Groups were examined for prevalence and differences on demographics, substance use, motivation to quit smoking and thoughts about tobacco abstinence. Results: SELF-ONLY (46%) was the largest group, followed by SELF + BEH (27%) and NON-SOCIAL (27%). SELF + BEH smoke less frequently, smoke fewer cigarettes per day, are less addicted to cigarettes, have a higher desire to quit, and perceive a lower quitting difficulty compared with SELFONLY. SELF + BEH and SELF-ONLY were more likely to be male, be marijuana users, and be addicted to marijuana than NON-SOCIAL. SELF + BEH exhibited a lower frequency of smoking, less cigarettes per day, were less addicted, and had more days co-using alcohol and cigarettes than NON-SOCIAL. Conclusion: Identifying social smokers based on self-identification in addition to behavioral components appears to be important for designing smoking cessation interventions for emerging adults. [ABSTRACT FROM AUTHOR]

Introduction: In an ethnically-diverse, uninsured psychiatric sample with co-occurring drug/alcohol addiction, we evaluated the feasibility and reproducibility of a tobacco treatment intervention. The intervention previously demonstrated efficacy in insured psychiatric and nonpsychiatric samples with 20.0%-25.0% abstinence at 18 months. Methods: Daily smokers, recruited in 2009-2010 from psychiatric units at an urban public hospital, were randomized to usual care (on-unit nicotine replacement plus quit advice) or intervention, which added a Transtheoretical-model tailored, computer-assisted intervention, stage-matched manual, brief counseling, and 10-week post-hospitalization nicotine replacement. Results: The sample (N = 100, 69% recruitment rate, age M = 40) was 56% racial/ethnic minority, 65% male, 79% unemployed, and 48% unstably housed, diagnosed with unipolar (54%) and bipolar (14%) depression and psychotic disorders (46%); 77% reported past-month illicit drug use. Prior to hospitalization, participants averaged 19 (SD = 11) cigarettes/day for 23 (SD = 13) years; 80% smoked within 30 minutes of awakening; 25% were preparing to quit. Encouraging and comparable to effects in the general population, 7-day point prevalence abstinence for intervention versus control was 12.5% versus 7.3% at 3 months, 17.5% versus 8.5% at 6 months, and 26.2% versus 16.7% at 12 months. Retention exceeded 80% over 12 months. The odds of abstinence increased over time, predicted by higher self-efficacy, greater perceived social status, and diagnosis of psychotic disorder compared to unipolar depression. Conclusions: Findings indicate uninsured smokers with serious mental illness can engage in tobacco treatment research with quit rates comparable to the general population. A larger investigation is warranted. Inclusion of diverse smokers with mental illness in clinical trials is supported and encouraged. [ABSTRACT FROM AUTHOR]

Introduction: Although the early time course of smoking withdrawal effects has been characterized, the clinical significance of early withdrawal symptoms and their predictors are unknown. This study evaluated the relationships of early smoking withdrawal effects with quit attempt outcomes and the rate of nicotine metabolism. Methods: Eleven treatment-seeking smokers abstained from smoking for 4 hr in the laboratory before a quit attempt. Withdrawal measures included heart rate, sustained attention, and self-report. Following baseline assessment, withdrawal measures were administered every 30min. At the conclusion of the 4-hr early withdrawal session, participants received a brief smoking cessation intervention and then returned 1 week and 12 weeks later for outcome assessments that included biochemically confirmed smoking abstinence, cigarettes smoked in the past 24hr, and self-reported withdrawal symptoms. The rate of nicotine metabolism was estimated at intake with the nicotine metabolite ratio (trans-3′-hydroxycotinine/cotinine) measured in saliva. Results: Greater self-reported negative affect and concentration difficulty during early withdrawal, most notably anxiety, were related with poorer quit attempt outcomes. There was some indication that although a faster increase in craving and greater hunger during early withdrawal were associated with more favorable outcomes, a greater decrease in heart rate during this time was associated with poorer outcomes. Faster nicotine metabolism was related to a faster increase in anxiety but a slower increase in craving during early withdrawal. Conclusions: These findings lend support to the clinical significance of early smoking withdrawal effects. The rate of nicotine metabolism may be a useful predictor of early withdrawal symptoms. [ABSTRACT FROM PUBLISHER]

Objective: We conducted a secondary analysis of baseline data from a recently completed pharmacological pilot clinical trial among 30 veterans with alcohol dependence and posttraumatic stress disorder (PTSD). This trial included baseline measures of alcohol use biomarkers, both indirect (carbohydrate-deficient transferrin, GGT [y-glutamyltransferase], mean corpuscular volume, AST [aspartate aminotransferase], alanine aminotransferase) and direct (ethyl glucuronide, ethyl sulfate), as well as neurocognitive measures (Trail Making Test parts A and B. Hopkins Verbal Learning Test-Revised. Balloon Analogue Risk Task, Delay Discounting Task). Methods: Two regression models were estimated and tested for each neurocognitive measure (dependent measure). The first model included the alcohol use biomarker alone as the predictor. The second model included the alcohol use biomarker along with the following 3 additional predictors: Beck Depression Inventory, Clinician-Administered PTSD Scale, and receiving medications. Results: In both models, the indirect biomarkers, such as GGT and AST, significantly predicted performance on the Hopkins Verbal Learning Test-Revised %Retention. GGT alone significantly predicted performance on the Trail Making Test part A. Conclusions: Indirect alcohol use biomarkers may have a specific role in identifying those veterans with alcohol dependence and PTSD who have impaired cognitive performance. However, direct alcohol use biomarkers may not share such a role. [ABSTRACT FROM AUTHOR]

Introduction: Identifying successful smoking treatment interventions and methods of delivery is critical given the smoking rates among HIV-positive populations and the medical implications of smoking in this population. This study compared the efficacy of 3 smoking cessation interventions provided in HIV clinical treatment settings. Methods: Following a baseline assessment, 209 HIV-positive smokers were randomly assigned to 1 of 3 conditions in a parallel group design. Treatment conditions were individual counseling plus nicotine replacement treatment (NRT), a computer-based Internet smoking treatment plus NRT, and self-help plus NRT. Smoking status was determined at follow-up assessments completed at 12, 24, 36, and 52 weeks following treatment initiation. Results: Cessation rates ranged from 15% to 29%; however, no statistically significant differences in abstinence were found among the treatment conditions over time. Those employed, those who reported a greater desire to quit, or those with lower mood disturbance scores were more likely to achieve abstinence (p < .01). The number of cigarettes participants reported smoking in the 24hr prior to each assessment significantly declined over time (p < .001). Conclusions: Although we found no differences in abstinence rates across groups, the results indicate that integration of smoking cessation interventions is feasible in HIV clinical treatment settings, and cessation results are promising. The overall abstinence rates we report are comparable to those found in similar treatment studies across multiple populations. Further research is warranted. [ABSTRACT FROM AUTHOR]

Introduction: Alcohol and marijuana are among the most commonly used substances together with tobacco worldwide, but their relationship to smoking cessation is unclear. Although alcohol use decreases the likelihood of abstinence from tobacco, mechanisms of this effect have not been identified. Moreover, a small literature has yielded inconsistent findings regarding the effect of marijuana use on tobacco dependence treatment outcome. The aims of this study were to test increased positive-reinforcement smoking urge as a mediator of the relationship between alcohol and cigarette use and evaluate the impact of marijuana use on abstinence from tobacco.Methods: Participants were adult cigarette smokers (N = 739) from 3 randomized clinical trials of smoking cessation treatment. Alcohol consumption and marijuana use were assessed at pretreatment and postcessation. Biochemically verified, 7-day point prevalence smoking abstinence was determined at Weeks 12, 24, 36, and 52, as were urges to smoke as measured by the Questionnaire of Smoking Urges.Results: Increased positive-reinforcement urge mediated the effect of postcessation alcohol use on smoking abstinence. Although pretreatment alcohol use was associated with a decreased likelihood of abstinence from tobacco, increased positive-reinforcement urge did not account for this relationship. Marijuana use was not associated with abstinence from tobacco.Conclusions: Smoking cessation treatments should provide those who drink during a quit attempt techniques designed to mitigate positive-reinforcement urge to smoke. Additional research is needed to determine how pretreatment alcohol consumption exerts its effect on cigarette use. Modifying the use of marijuana might not be critical to the success of tobacco interventions. [ABSTRACT FROM AUTHOR]

Introduction: This study examines the relation between tobacco use and cessation with lifetime and past year mental illness in a nationally representative sample of Blacks. Methods: This cross-sectional study analyzed nationally representative data from 3,411 adult Blacks participating in the 2001–2003 National Survey of American Life. Smoking prevalence and quit rates according to lifetime and past year Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition mental disorders were assessed by a modified version of the Composite International Diagnostic Interview. Results: Compared with those without mental illness, respondents with a lifetime, past year, or past month mental illness had a higher smoking prevalence (20.6%, 35.6%, 36.0%, and 45.4%, respectively) and lower quit rate (40.5%, 31.2%, and 26.2%, respectively). The odds of being a current smoker among Blacks with mental illness in their lifetime, past year, and past month, after adjusting for age, gender, education, poverty, and marital status were 1.76 (95% CI = 1.39–2.22), 1.57 (95% CI = 1.22–2.03), and 2.20 (95% CI = 1.56–3.12), respectively. Mental illness also was associated with heavier smoking. Blacks with past year mental illness represented 18.1% of the sample, yet consumed 23.9% of cigarettes smoked by Black smokers. Past year (odds ratio [OR] = 0.72, 95% CI = 0.53–0.97) and past month (OR = 0.54, 95% CI = 0.29–0.98) mental illness were associated with a lower odds of quitting for at least 1 year. Conclusions: Findings indicate that mental illness is significantly associated with tobacco use in Blacks. Tobacco cessation interventions that address mental illness as a barrier to cessation are needed. [ABSTRACT FROM PUBLISHER]

This article considers two important issues in the statistical treatment of data from tobacco-treatment clinical trials: (1) data analysis strategies for longitudinal studies and (2) treatment of missing data. With respect to data analysis strategies, methods are classified as 'time-naïve' or longitudinal. Time-naïve methods include tests of proportions and logistic regression. Longitudinal methods include Generalized Estimating Equations and Generalized Linear Mixed Models. It is concluded that, despite some advantages accruing to 'time-naïve' methods, in most situations, longitudinal methods are preferable. Longitudinal methods allow direct effects of the tests of time and the interaction of treatment with time, and allow model estimates based on all available data. The discussion of missing data strategies examines problems accruing to complete-case analysis, last observation carried forward, mean substitution approaches, and coding participants with missing data as using tobacco. Distinctions between different cases of missing data are reviewed. It is concluded that optimal missing data analysis strategies include a careful description of reasons for data being missing, along with use of either pattern mixture or selection modeling. A standardized method for reporting missing data is proposed. Reference and software programs for both data analysis strategies and handling of missing data are presented. [ABSTRACT FROM AUTHOR]

Introduction: Sexual and gender minority individuals (i.e., lesbian, gay, bisexual, and transgender [LGBT]) have a higher smoking prevalence than nonminority individuals. There is limited evidence of smoking abstinence success in nontailored smoking treatments in LGBT smokers. Methods: This study is a secondary data analysis comparing the efficacy of extended, nontailored treatments among sexual and gender minority and nonminority smokers. Data from two clinical trials were combined to increase power and generalizability of the findings. Trials began with 12 weeks of counseling, nicotine replacement, and bupropion, after which participants were randomized to an extended treatment. Results: Follow-up occurred at Weeks 12, 24, 52, 64, and 104. Of the sample (n = 777), 17% identified as sexual and gender minority and 83% as nonminority. The sample was 75% non-Hispanic White, with 86% completing at least some college, and 68% employed. Sexual and gender minorities were younger and indicated a greater desire to quit smoking than nonminority smokers. No other differences emerged on demographic, smoking, or mood variables. The average Fagerström Test for Nicotine Dependence score was 4.8 and mean daily cigarettes was 19.8. The generalized estimating equations model revealed no significant differences in abstinence between sexual and gender minority smokers and nonminority smokers at all follow-up assessments. Conclusions: Sexual and gender minority smokers appear as likely to quit or abstain as nonminority smokers in extended, nontailored interventions. However, these findings may not generalize to other geographic areas, where access to treatment is limited or a higher stigma of sexual orientation exists. [ABSTRACT FROM PUBLISHER]