Depression Severity Moderates Reward Learning Among Smokers with Current or Past Major Depressive Disorder in a Smoking Cessation Randomized Clinical Trial.

INTRODUCTION: Behavioral and pharmacological smoking cessation treatments are hypothesized to increase patients' reward learning to reduce craving. Identifying changes in reward learning processes that support effective tobacco dependence interventions among smokers who experience depression may guide patients towards efficient treatment strategies. The objective was to investigate the extent to which adult daily cigarette smokers with current or past major depressive disorder (MDD) learned to seek reward during 12 weeks of treatment combining behavioral activation and varenicline. We hypothesized that a decline in reward learning would be attenuated (least to most) in the following order: 1) Behavioral activation integrated with ST (BASC) + varenicline, 2) BASC + placebo, 3) Standard behavioral cessation treatment (ST) + varenicline, 4) ST + placebo. METHODS: We ran a Phase 4, placebo-controlled, randomized clinical trial with 300 participants receiving 12 weeks of one of four conditions across two urban medical centers. Depressive symptoms were measured using the Beck Depression Inventory-II (BDI). Reward learning was ascertained at Weeks 1, 7, and 14 using the Probabilistic Reward Task (PRT), a laboratory task that uses an asymmetric reinforcement schedule to assess (a) learning to seek reward (response bias), (b) differentiate between stimuli, and (c) time to react to cues. RESULTS: There was a significant interaction of BDI group x PRT response bias. Response bias declined from Week 7 to 14 among participants with high baseline depression symptoms. The other two BDI groups showed no change in response bias. CONCLUSIONS: Controlling for baseline depression, participants showed a decrease in response bias from Week 1 to 14, and from Weeks 7 to 14. Treatment condition and abstinence status were unassociated with change in reward learning. IMPLICATIONS: Smokers who report greater depression severity show a decline in reward learning despite their participation in smoking cessation treatments, suggesting that depressed populations pose unique challenges with standard smoking cessation approaches.

The Network Structure of Tobacco Withdrawal in a Community Sample of Smokers Treated With Nicotine Patch and Behavioral Counseling.

INTRODUCTION: Network theories of psychopathology highlight that, rather than being indicators of a latent disorder, symptoms of disorders can causally interact with one another in a network. This study examined tobacco withdrawal from a network perspective. METHODS: Participants (n = 525, 50.67% female) completed the Minnesota Tobacco Withdrawal Scale four times (2 weeks prior to a target quit day, on the target quit day, and 4 and 8 weeks after the target quit day) over the course of 8 weeks of treatment with nicotine patch and behavioral counseling within a randomized clinical trial testing long-term nicotine patch therapy in treatment-seeking smokers. The conditional dependence among seven withdrawal symptoms was estimated at each of the four measurement occasions. Influential symptoms of withdrawal were identified using centrality indices. Changes in network structure were examined using the Network Comparison Test. RESULTS: Findings indicated many associations among the individual symptoms of withdrawal. The strongest associations that emerged were between sleep problems and restlessness, and associations among affective symptoms. Restlessness and affective symptoms emerged as the most central symptoms in the withdrawal networks. Minimal differences in the structure of the withdrawal networks emerged across time. CONCLUSIONS: The cooccurrence of withdrawal symptoms may result from interactions among symptoms of withdrawal rather than simply reflecting passive indicators of a latent disorder. Findings encourage greater consideration of individual withdrawal symptoms and their potential interactions and may be used to generate hypotheses that may be tested in future intensive longitudinal studies. IMPLICATIONS: This study provides a novel, network perspective on tobacco withdrawal. Drawing on network theories of psychopathology, we suggest that the cooccurrence of withdrawal symptoms may result from interactions among symptoms of withdrawal over time, rather than simply reflecting passive indicators of a latent disorder. Results indicating many associations among individual symptoms of withdrawal are consistent with a network perspective. Other results of interest include minimal changes in the network structure of withdrawal across four measurement occasions prior to and during treatment with nicotine patch and behavioral counseling.

Extended Nicotine Patch Treatment Among Smokers With and Without Comorbid Psychopathology.

INTRODUCTION: Individuals with psychiatric conditions smoke at higher rates than the general population and may need more intensive treatment to quit. We examined whether or not extended treatment with nicotine patch, combined with behavior counseling, would disproportionally benefit smokers with versus without a lifetime psychiatric condition. METHODS: We conducted a secondary analysis of data from an effectiveness trial of treatment with 12 counseling sessions (48 weeks) and 21-mg nicotine patch (8, 24, or 52 weeks) among 525 adult daily smokers. A structured clinical interview assessed past and current psychiatric disorders (major depression, generalized anxiety disorder, alcohol abuse and/or dependence, and substance abuse and/or dependence), as described in the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition). Abstinence was bioverified at week 52. Logistic regression evaluated the effect of the psychiatric status × treatment duration interaction on abstinence at week 52, covarying for sociodemographics, baseline psychological symptoms, and treatment adherence. RESULTS: At baseline, 115 (21.9%) participants were diagnosed with one or more psychiatric conditions. The psychiatric status × treatment duration interaction was significant for week 52 abstinence (p = .027). Abstinence rates between smokers with versus without a psychiatric condition in the 24-week treatment arm (9.3% vs. 31.5% abstinent) significantly differed from the 8-week treatment arm (18.8% vs. 22.3%), p = .017. Abstinence rates for smokers with (22.5%) versus without a psychiatric condition (19.7%) in the 52-week treatment arm did not differ from those in the 8-week arm. CONCLUSIONS: Targeted smoking cessation treatment, rather than extending treatment duration, may be especially warranted to optimize treatment for smokers with comorbid mood, anxiety, and substance use disorders. IMPLICATIONS: Individuals with psychiatric conditions smoke at higher rates and have greater difficulty quitting compared to those in the general population, but little is known about how to best optimize treatment for this high tobacco burden population. The present study found that cessation response to extended duration treatment with the transdermal nicotine patch did not differ for smokers with versus without comorbid anxiety, mood, and substance use disorders in a large-scale clinical effectiveness trial. Development of targeted behavioral treatments may be required to optimize abstinence outcomes for this high-risk population, rather than simply extending the duration of pharmacotherapy treatments.

Withdrawal Symptom, Treatment Mechanism, and/or Side Effect? Developing an Explicit Measurement Model for Smoking Cessation Research.

INTRODUCTION: Assessment of withdrawal symptoms, treatment mechanisms, and side effects is central to understanding and improving smoking cessation interventions. Though each domain is typically assessed separately with widely used questionnaires to separately assess each domain (eg, Minnesota Nicotine Withdrawal Scale = withdrawal; Questionnaire of Smoking Urges-Brief = craving; Positive and Negative Affect Schedule = affect; symptom checklist = side effects), there are substantial problems with this implicit "one questionnaire equals one construct" measurement model, including item overlap across questionnaires. This study sought to clarify the number and nature of constructs assessed during smoking cessation by developing an explicit measurement model. METHODS: Two subsamples were randomly created from 1246 smokers in a clinical trial. Exploratory and confirmatory factor analyses were conducted to identify and select a model that best represented the data. Measurement invariance was assessed to determine if the factors and their content were consistent prior to and during the quit. Improvement in construct overlap within this model was compared against the implicit measurement model using correlational analyses. RESULTS: A 5-factor measurement model composed of negative affect, somatic symptoms, sleep problems, positive affect, and craving fits the data well prior to and during quitting. All factor content except somatic symptoms was consistent over time. Correlational analyses indicated that the 5-factor model attenuated construct overlap compared to the implicit model. CONCLUSIONS: The models generated from data-driven approaches (eg, the 5-factor model) reduced overlap and better represented the constructs underlying these measures. This approach created distinct, stable constructs that span over measures of side effects and potential treatment mechanisms. IMPLICATIONS: This study demonstrated that measures assessing treatment mechanisms, withdrawal symptoms, and side effects contain problematic overlap that reduces the clarity of these key constructs. The use of data-driven approaches showed that these measures do not map on to their posited latent constructs (eg, the Minnesota Nicotine Withdrawal Scale does not yield a withdrawal factor). Rather, these measures form distinct, basic processes that may represent more meaningful constructs for future research on cessation and treatment. Assessments designed to individually examine these processes may improve the study of treatment mechanisms.

History and Correlates of Smoking Cessation Behaviors Among Smokers With Serious Mental Illness.

INTRODUCTION: Individuals with serious mental illness (SMI) smoke at rates two to three times greater than the general population but are less likely to receive treatment. Increasing our understanding of correlates of smoking cessation behaviors in this group can guide intervention development. AIMS AND METHODS: Baseline data from an ongoing trial involving smokers with SMI (N = 482) were used to describe smoking cessation behaviors (ie, quit attempts, quit motivation, and smoking cessation treatment) and correlates of these behaviors (ie, demographics, attitudinal and systems-related variables). RESULTS: Forty-three percent of the sample did not report making a quit attempt in the last year, but 44% reported making one to six quit attempts; 43% and 20%, respectively, reported wanting to quit within the next 6 months or the next 30 days. Sixty-one percent used a smoking cessation medication during their quit attempt, while 13% utilized counseling. More quit attempts were associated with lower nicotine dependence and carbon monoxide and greater beliefs about the harms of smoking. Greater quit motivation was associated with lower carbon monoxide, minority race, benefits of cessation counseling, and importance of counseling within the clinic. A greater likelihood of using smoking cessation medications was associated with being female, smoking more cigarettes, and receiving smoking cessation advice. A greater likelihood of using smoking cessation counseling was associated with being male, greater academic achievement, and receiving smoking cessation advice. CONCLUSIONS: Many smokers with SMI are engaged in efforts to quit smoking. Measures of smoking cessation behavior are associated with tobacco use indicators, beliefs about smoking, race and gender, and receiving cessation advice. IMPLICATIONS: Consideration of factors related to cessation behaviors among smokers with SMI continues to be warranted, due to their high smoking rates compared to the general population. Increasing our understanding of these predictive characteristics can help promote higher engagement in evidence-based smoking cessation treatments among this subpopulation.

A Cluster-Randomized Clinical Trial Testing the Effectiveness of the Addressing Tobacco Through Organizational Change Model for Improving the Treatment of Tobacco Use in Community Mental Health Care: Preliminary Study Feasibility and Baseline Findings.

INTRODUCTION: People with mental illness are more likely to smoke and less likely to receive tobacco treatment than the general population. The Addressing Tobacco Through Organizational Change (ATTOC) approach supports organizational change to increase tobacco treatment in this population. We describe preliminary study feasibility and baseline behaviors and attitudes among clients and staff regarding tobacco treatment, and assesse correlates of treatment of smoking. METHODS: Preliminary accrual, engagement, and baseline data are reported from a cluster-randomized trial comparing ATTOC to usual care. Feasibility, thus far, was the rate of site and participant accrual and engagement (eg, participants remaining in the trial). Correlates of assessing smoking, advising cessation, and providing treatment were assessed. RESULTS: Site and participant accrual is 80% (8/10) and 86% (456/533), and engagement is 100% and 82%. "Staff asking about smoking" was reported by 63% of clients and 38% of staff; "staff advising cessation" was reported by 57% of clients and 46% of staff; staff report "assisting clients with any medication" at most 22% of the time, whereas at most 18% of clients report receiving a cessation medication; 59% of clients want tobacco treatment, but 36% of staff think that it is part of their job. "Staff assisting with medications" is related to more training, believing treating smoking is part of their job, and believing patients are concerned about smoking (ps < .05). CONCLUSIONS: This trial of training in tobacco treatment within mental health care is feasible thus far; self-reported rates of tobacco treatment are low and associated with clinician attitudes and barriers. IMPLICATIONS: Evaluation of ways to help address tobacco use treatment in community mental health care is feasible and needed, including the use of technical assistance and training guided by an organizational change approach.

Cancer-related disease factors and smoking cessation treatment: Analysis of an ongoing clinical trial.

OBJECTIVE: Smoking cessation treatment should be an important aspect of cancer care. In this study, we evaluated whether cancer-related disease factors adversely influence smoking cessation treatment. METHODS: Smokers with cancer (within 5 years of diagnosis, any tumor site) were recruited for an ongoing trial of varenicline for smoking cessation. Disease factors, assessed at baseline, included tumor site, cancer treatment, time since diagnosis, and health-related quality of life. Medication adherence was defined by 132 of 165 pills taken and counseling adherence was defined by 4 of 4 behavioral counseling sessions attended. Abstinence was bioverified at Week 12. Using logistic regression analysis, we assessed the relationship between disease factors and 12-week medication adherence, counseling adherence, and abstinence. RESULTS: Of 144 participants, 56% were medication adherent, 74% were counseling adherent, and 39% were abstinent. Health-related quality of life predicted medication adherence (OR: 1.08, 95% CI, 1.01-1.16, P = .019, d = 0.20) but not counseling adherence or 12-week abstinence. Tumor site, cancer treatment, and time since diagnosis did not predict any smoking cessation treatment outcomes. CONCLUSIONS: Cancer-related disease factors did not predict cancer survivors' engagement or success in smoking cessation treatment. Findings support National Comprehensive Cancer Network Clinical Practice guidelines that recommend smoking cessation treatment for all smokers with cancer, regardless of time since diagnosis.

The nature and consequences of cognitive deficits among tobacco smokers with HIV: a comparison to tobacco smokers without HIV.

HIV-infected smokers lose more years of life to tobacco-related disease than HIV. Since neurocognitive deficits are common among those with HIV and are associated with smoking persistence, these deficits may be a unique barrier to smoking cessation among HIV-infected smokers. Documenting unique differences in and correlates of cognition among HIV-infected smokers is a critical step towards developing a population-specific tobacco cessation treatment. We compared neurocognitive function between HIV-infected (n = 103) and HIV-uninfected smokers (n = 70), accounting for demographic and smoking-related variables. We also evaluated whether HIV-related health outcomes (e.g., CD4 count, viral load, depression ratings, quality of life [QoL]) and HAART adherence were associated with cognition. Participants completed neurocognitive tasks (N-back and Continuous Performance Task [CPT]) measuring working memory, attention, and processing speed, and intra-individual variability. Stepwise regression models were conducted and validated with resampling techniques. HIV-infected smokers performed worse than HIV-uninfected smokers on working memory, processing speed, and intra-individual variability (all p < 0.01). ROC analysis for the model including cognitive measures demonstrated 85% area under the curve, which indicates "good prediction" for distinguishing between HIV-infected and HIV-uninfected smokers. This was a significant improvement over the model including demographic and smoking-related variables only (p = 0.0003). Among HIV-infected smokers, neurocognitive performance was negatively associated with QoL and depression ratings. Smoking cessation interventions for HIV-infected smokers should consider cognitive neurorehabilitation as a potential strategy to decrease the likelihood of nicotine relapse and decrease tobacco-related morbidity in this population.

Is the Effect of Anhedonia on Smoking Cessation Greater for Women Versus Men?

INTRODUCTION: Anhedonia has been recognized as a major risk factor for smoking persistence. Potential gender differences in the effect of anhedonia on smoking cessation have not been studied. Using data from a completed clinical trial of maintenance nicotine patch therapy, we hypothesized that gender would moderate the effect of anhedonia on short-term abstinence, such that anhedonic women would be less likely to achieve abstinence. METHODS: Participants (N = 525; 50% female, 48.2% Black/African American, average age: 46 years) received 21mg/day nicotine patch and four brief behavior counseling sessions over 8 weeks. Participants were classified at baseline using the Snaith-Hamilton Pleasure Scale as anhedonic (scores > 2) or hedonic (scores ≤ 2). Bioverified 7-day point prevalence abstinence was measured at week 8. Using logistic regression analysis, we tested the interaction of anhedonia by gender predicting abstinence, adjusting for age, race, nicotine dependence, and baseline depressive symptomatology. RESULTS: Seventy participants (13%) were classified as anhedonic. Men were more likely to be anhedonic than women (16.6% vs. 10.2%, p = .03). Contrary to our hypothesis, the interaction of anhedonic status (hedonic vs. anhedonic) by gender was nonsignificant (p = .18). There was a main effect of hedonic capacity, such that anhedonia predicted abstinence, odds ratio = 3.24, 95% confidence interval = 1.39-7.51, p = .006. CONCLUSION: Both male and female anhedonic smokers were more likely to be abstinent, which contrasts with prior research indicating that anhedonia is a risk factor for difficulty quitting. This unexpected finding may be explained by a possible selective benefit of nicotine patch therapy, which has been observed in some studies to have antidepressant effects. IMPLICATIONS: This is the first study to examine whether the association between pretreatment anhedonia and smoking cessation differs by gender. For both women and men, anhedonia was associated with a greater likelihood of abstinence after 8 weeks of treatment with 21mg/day nicotine patch and behavior counseling. Our findings indicate that the association between anhedonia and smoking cessation is not as clear as has been assumed and may depend in part on the type of treatment delivered.

The Nicotine Metabolite Ratio is Associated With Early Smoking Abstinence Even After Controlling for Factors That Influence the Nicotine Metabolite Ratio.

INTRODUCTION: The decrease in smoking rates in North America has plateaued, underscoring the need for new approaches to treat nicotine dependence. Inter-individual differences in smoking behavior result, in part, from variation in the rate of CYP2A6-mediated nicotine metabolism. A phenotypic measure of CYP2A6 activity is the nicotine metabolite ratio (NMR), the ratio of 3'hydroxycotinine/cotinine. The NMR is associated with smoking cessation. However, the NMR is also associated with genetic (eg, CYP2A6 genotype) and other (eg, sex and ethnicity) factors. Here we aimed to determine if previously identified non-CYP2A6 sources of variation in the NMR mitigated the association between the NMR and short-term abstinence. METHODS: The NMR was determined from blood samples collected at intake from daily smokers aged 18-65. Biochemically-verified point prevalence abstinence (exhaled carbon monoxide level ≤ 8 ppm) was measured at 1 week following the target quit date in participants from a smoking cessation clinical trial (NCT01314001). Analyses were restricted to N = 462 blacks and N = 693 whites in the intent-to-treat sample. RESULTS: Lower NMR (<0.31) was associated with a higher likelihood of 1-week abstinence (OR = 1.43; 95% CI = 1.12, 1.84). NMR was associated with abstinence even after controlling for treatment arm (nicotine patch or varenicline) and factors previously associated with NMR variation including sex, ethnicity, estrogen-containing hormonal therapy, body mass index, alcohol, and cigarette consumption. CONCLUSIONS: NMR was associated with 1-week smoking abstinence; NMR may be a useful addition to medication screening approaches evaluating treatments for nicotine dependence.

Does cannabis use moderate smoking cessation outcomes in treatment-seeking tobacco smokers? Analysis from a large multi-center trial.

BACKGROUND AND OBJECTIVE: Tobacco and cannabis are frequently used in combination and cannabis co-use may lead to poor tobacco cessation outcomes. Therefore, it is important to explore if cannabis co-use is associated with a reduced likelihood of achieving successful tobacco abstinence among treatment-seeking tobacco smokers. The present study examined whether current cannabis use moderated tobacco cessation outcomes after 12 weeks of pharmacological treatment (varenicline vs. nicotine patch vs. placebo) with adjunctive behavioral counseling. METHODS: Treatment-seeking tobacco smokers (N = 1,246) were enrolled in an intent-to-treat study, of which 220 were current cannabis users. Individuals were randomly assigned to 12 weeks of placebo (placebo pill plus placebo patch), nicotine patch (active patch plus placebo pill), or varenicline (active pill plus placebo patch), plus behavioral counseling. The primary endpoint was biochemically verified 7-day point prevalence abstinence at the end of treatment. RESULTS: Controlling for rate of nicotine metabolism, treatment arm, age, sex, alcohol, and level of nicotine dependence, cannabis users were as successful at achieving biochemically verified 7-day point prevalence abstinence compared to tobacco-only smokers. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Findings suggest that cannabis use does not hinder the ability to quit tobacco smoking. Future tobacco cessation studies should employ prospective, longitudinal designs investigating cannabis co-use over time and at different severity levels. (Am J Addict 2016;25:291-296).

Evaluating the Effects of Varenicline on Craving, Withdrawal, and Affect in a Randomized, Double-Blind, Placebo-Controlled Clinical Trial of Varenicline for Smokeless Tobacco Dependence in India.

This study examined changes in tobacco craving, withdrawal, and affect as correlates of efficacy in a phase-2 clinical trial of varenicline for smokeless tobacco dependence in India. Smokeless tobacco users (N = 237) at the All India Institute of Medical Sciences were randomized to placebo or varenicline. Abstinence was defined as cotinine-verified seven-day point prevalence cessation at end of treatment (EOT). General Linear Model repeated measures assessed the effects of treatment condition, time, abstinence state, and interaction effects on changes in craving, withdrawal, positive (PA) and negative affect (NA) from baseline to EOT. All participants showed a significant reduction in withdrawal (p < .001), total craving (p < .001), positive reinforcement (PR) craving (p < .001), and NA (p = .02), and an increase in PA (p = .04) from baseline to EOT. However, there were no differences between placebo and varenicline participants in measures of withdrawal, craving, or affect from baseline to week 3 or at EOT. Significant interactions between time and abstinence state were found for total craving (p = .008), PR craving (p < .001), and withdrawal (p = .001), indicating reductions in these processes among those abstinent vs. those still chewing smokeless tobacco. Additional research is needed concerning the effects of varenicline on craving, withdrawal, and affect among smokeless tobacco users.

Biochemical Validation of Self-Reported Smokeless Tobacco Abstinence among Smokeless Tobacco Users: Results from a Clinical Trial of Varenicline in India.

The validity of self-reported tobacco use is often questioned given the potential for underestimation of use. This study used data from a double-blind, placebo-controlled clinical trial of varenicline for smokeless tobacco dependence in India to evaluate the accuracy of self-reported smokeless tobacco cessation using biochemical validation procedures and to evaluate correlates of reporting inaccuracy. Smokeless tobacco users attending a dental clinic at AIIMS were randomized to placebo or varenicline; all participants received counseling. Detailed smokeless tobacco use was recorded and abstinence was defined as cotinine-verified 7-day point prevalence cessation (cotinine < 50 ng/ml) and breath CO > 10 ppm at the end of 12 weeks of treatment. One-half of study completers (82/165) self-reported abstinence. Biochemical verification confirmed that (65.9%) subjects provided accurate self-reports while (34.1%) participants underreported tobacco use. These data indicate poor agreement between self-reported and biochemically confirmed abstinence (κ = -0.191). Underreporters of tobacco use had significantly higher baseline cotinine (p < 0.05), total craving (p < 0.012), and negative reinforcement craving (p < 0.001) vs. those whose self-reports were correctly verified. These findings provide evidence to support the need for biochemical validation of self-reported abstinence outcomes among smokeless tobacco users in cessation programs in India and identify high levels of pretreatment cotinine and craving levels as potential correlates of false reporting.

A double-blind placebo-controlled randomized trial of varenicline for smokeless tobacco dependence in India.

INTRODUCTION: The rate of smokeless tobacco use in India is 20%; its use causes serious health problems, and no trial has assessed behavioral or pharmacological treatments for this public health concern. This trial evaluated varenicline for treating smokeless tobacco dependence in India. METHODS: This was a double-blind placebo-controlled randomized trial of varenicline (12 weeks, 1mg, twice per day) with 237 smokeless tobacco users in India. All participants received behavioral counseling. Outcomes included self-reported and biochemically verified abstinence at the end of treatment (EOT), lapse and recovery events, safety, and medication adherence. RESULTS: Self-reported EOT abstinence was significantly greater for varenicline (43%) versus placebo (31%; adjusted odds ratio [AOR] = 2.6, 95% CI = 1.2-4.2, p = .009). Biochemically confirmed EOT abstinence was greater for varenicline versus placebo (25.2% vs. 19.5%), but this was not statistically different (AOR = 1.6, 95% CI = 0.84-3.1, p = .15). Compared with placebo, varenicline did not reduce the risk for a lapse (hazard ratio [HR] = 0.86, 95% CI = 0.69-1.1, p = .14), but it did increase the likelihood of recovery to abstinence (HR = 1.2, 95% CI = 1.02-1.4, p = .02). Greater adherence increased EOT cessation rates for varenicline (39% vs. 18%, p = .003) but not for placebo (28% vs. 14%, p = .06). There were no significant differences between varenicline and placebo in rate of side effects, serious adverse events, hypertension, or stopping or reducing medication. CONCLUSIONS: Varenicline is safe for treating smokeless tobacco dependence in India, and further examination of this medication for this important public health problem is warranted.

Effect of early medication adherence on behavioral treatment utilization and smoking cessation among individuals with current or past major depressive disorder.

SIGNIFICANCE: Little is known about the mechanisms by which medication adherence promotes smoking cessation among adults with MDD. We tested the hypothesis that early adherence promotes abstinence by increasing behavioral treatment (BT) utilization. METHODS: Data for this post-hoc analysis were from a randomized trial of 149 adults with current or past MDD treated with BT and either varenicline (n = 81) or placebo (n = 68). Arms were matched on medication regimen. Early medication adherence was measured by the number of days in which medication was taken at the prescribed dose during the first six of 12 weeks of pharmacological treatment (weeks 2-7). BT consisted of eight 45-minute sessions (weeks 1-12). Bioverified abstinence was assessed at end-of-treatment (week 14). A regression-based approach was used to test whether the effect of early medication adherence on abstinence was mediated by BT utilization. RESULTS: Among 141 participants who initiated the medication regimen, BT utilization mediated the effect of early medication adherence on abstinencea) an interquartile increase in early medication days from 20 to 42 predicted a 4.2 times increase in abstinence (Total Risk Ratio (RR) = 4.24, 95% CI = 2.32-13.37; p <.001); b) increases in BT sessions predicted by such an increase in early medication days were associated with a 2.7 times increase in abstinence (Indirect RR = 2.73, 95% CI = 1.54-7.58; p <.001); and c) early medication adherence effects on abstinence were attenuated, controlling for BT (Direct RR = 1.55, 95% CI = 0.83-4.23, p =.17). CONCLUSIONS: The effect of early medication adherence on abstinence in individuals with current or past MDD is mediated by intensive BT utilization.

Is a cancer diagnosis a teachable moment for the patient's relative who smokes?

PURPOSE: This study examined a cancer diagnosis, versus orthopedic surgery, as a teachable moment for recruiting smokers and treating nicotine dependence among patients' relatives. METHODS: Cancer patients and, for comparison, orthopedic patients at the University of Pennsylvania Health System were approached for referrals of relatives for a smoking cessation program, which involved behavioral counseling and nicotine patches. Primary outcomes were rate of program enrollment and rate of smoking abstinence. Potential mediators of smoking cessation were explored (e.g., treatment adherence, depression, anxiety). Two hundred and thirty-four relatives (113 cancer, 121 orthopedic) were considered eligible for the cessation program and comprised the study sample. RESULTS: Relatives of oncology patients were significantly more likely to enroll in the smoking cessation program, vs. orthopedic relatives (75 % vs. 60%; OR = 1.96, 95% CI 1.07-3.61, p = .03), but they were not significantly more likely to remain in the program (61% vs. 52%) or quit smoking (19% vs. 26%; p's > .05). Compared to orthopedic relatives, oncology relatives showed significantly lower nicotine patch adherence and significantly greater levels of negative affect and depression and anxiety symptoms during treatment (p's < .05). Further, orthopedic relatives, compared to oncology relatives, showed a greater reduction in the perceived benefits of smoking (p = .06), which was significantly associated with abstinence (p = .02). CONCLUSIONS: While a family member's cancer diagnosis may serve as a teachable moment for a smoker to enroll in a smoking cessation treatment program, high levels of psychological distress and perceptions of the benefits of smoking and low levels of treatment adherence may undermine successful abstinence among this population.

High dose transdermal nicotine for fast metabolizers of nicotine: a proof of concept placebo-controlled trial.

INTRODUCTION: Smokers with a faster rate of nicotine metabolism, estimated using the ratio of 3'-hydroxycotinine (3-HC) to cotinine, have lower plasma nicotine levels and are more likely to relapse with 21 mg nicotine patch therapy, than smokers with slower rates of nicotine metabolism. Thus, faster metabolizers of nicotine may require a higher nicotine patch dose to achieve cessation. METHODS: This proof of concept randomized placebo-controlled trial evaluated the efficacy and safety of 8 weeks of 42 mg transdermal nicotine versus 21 mg, among 87 fast metabolizers of nicotine (3-HC/cotinine ≥ 0.18). RESULTS: After 1 week of treatment, an intent-to-treat (ITT) analysis showed that participants treated with 42 mg nicotine had significantly higher expired-air carbon monoxide (CO)-confirmed 24-hr abstinence (75% vs. 58.1%; OR = 3.21; 95% CI: 1.12-9.24, p = .03) but not 7-day abstinence (50% vs. 34.9%; OR = 2.02; 95% CI: 0.82-4.94, p = .13). After 8 weeks of treatment, ITT analysis showed that participants treated with 42 mg nicotine had marginally higher rates of CO-confirmed 24-hr abstinence (45.5% vs. 30.2%; OR = 2.32; 95% CI: 0.92-5.92, p = .08) but not 7-day abstinence (29.6% vs. 23.3%; OR = 1.52, 95% CI: 0.57-4.07, p = .41). Percent nicotine and cotinine replacement were significantly greater for 42 mg nicotine versus 21 mg (p < .005). There were no significant differences between treatment arms in the frequency of severe side effects and serious adverse events or blood pressure during treatment (p > .10). CONCLUSIONS: Further examination of the efficacy of 42 mg nicotine patch therapy for fast metabolizers of nicotine is warranted.

Genetic analysis of polymorphisms in dopamine receptor and transporter genes for association with smoking among cancer patients.

BACKGROUND: Smoking among Russian cancer patients may be related to variations in the DRD2/ANKK1 (Taq1), DRD4 (exon III VNTR), and SLC6A3 genes. METHODS: Seven hundred fifty patients provided smoking history and DNA. RESULTS: Current smokers were more likely to be DRD2 A2 allele carriers versus nonsmokers (former/never smokers; 69 vs. 56%; OR = 1.69; 95% CI 1.13-2.53, p = 0.01) and former smokers (69 vs. 59%; OR = 1.54; 95% CI 0.97-2.46, p = 0.07). Ever smokers (current/former smokers) were more likely to be DRD2 A2 allele carriers versus never smokers (65 vs. 55%; OR = 1.50; 95% CI 1.00-2.27, p = 0.05). The risk of current smoking among DRD2 A2 allele carriers was present if the DRD4 short allele was also present (OR = 1.76; 95% CI 1.12-2.78, p = 0.02), and the risk of ever smoking among DRD2 A2 allele carriers was present if the DRD4 short allele was also present (OR = 1.62; 95% CI 1.02-2.55, p = 0.04). DRD2 A2 allele carriers had a shorter period of previous abstinence versus DRD2 A1 carriers (p = 0.02). Effects were not statistically significant when controlling for multiple comparisons. CONCLUSIONS: The DRD2 A2 allele may increase the risk of smoking among cancer patients, convergent with studies using non-Western samples. However, additional replication is needed.