Alcohol and marijuana use in the context of tobacco dependence treatment: impact on outcome and mediation of effect

The effect of alcohol use on smoking cessation: A systematic review

Only a small minority of all attempts to stop smoking are successful, especially among smokers who are heavy drinkers and those with an alcohol use disorder. The current systematic review focuses on the negative effects of alcohol use, either before or during attempts to quit smoking, on the success rate of these attempt(s) in alcohol-drinking tobacco smokers. We conducted a systematic review of naturalistic and experimental studies, which included at least 40 tobacco smokers with a recorded drinking status (non-drinking, heavy drinking, alcohol use disorder) and a clearly documented change in alcohol consumption. We could not conduct a meta-analysis and, thus, used consistency across studies to draw conclusions. The evidence presented here shows that alcohol use is associated with lower rates of success in quitting smoking in 20 out of 27 studies. This includes both lapses and relapses. Similarly, in 19 out of 20 long-term follow-up studies, the duration of smoking abstinence was shorter among persons with higher alcohol consumption. Finally, 12 out of 13 experimental studies showed that exposure of smokers to alcohol cues or to drinking of alcohol induce a strong propensity to smoke. It is, therefore, recommended for smokers who drink alcohol and who intend to quit smoking to use an integrated approach, i.e., to stop or substantially reduce their alcohol consumption before and/or during their attempt to quit smoking.

Cohort Study of Cannabis Use History and Perinatal Cigarette Use Among Overweight and Obese Women

OBJECTIVES

In non-pregnant populations, cannabis use and cannabis use disorder (CUD) have been linked to tobacco use and less successful quit attempts. We compared perinatal cigarette use in women across 3 groups: never used cannabis (No CU group); used cannabis but did not meet CUD criteria (CU group); history of CUD (CUD group).

METHODS

Interviews with 257 pregnant women with overweight/obesity (M age = 28 years; 52% white) were conducted for a study of eating behavior in Western Pennsylvania from 2012-2016. Tobacco use was assessed early in pregnancy (< 20 weeks gestation), late in pregnancy (34-38 weeks gestation) and 6 months postpartum. CUD was measured with the Structured Clinical Interview for DSM-IV (SCID). Data relevant to the proposed analyses were available for 252 women. Generalized mixed effect models were used to predict perinatal cigarette use based on cannabis use group, time and their interaction, adjusting for age, race, education, income, parity, and mood/anxiety disorder.

RESULTS

Forty-eight percent of participants reported prior cannabis use and 15% were diagnosed with lifetime CUD. History of cannabis use predicted cigarette smoking in early pregnancy (OR 11.12, CI 3.27-37.85), late pregnancy (OR 6.55, CI 1.70-25.27), and 6 months postpartum (OR 7.57, CI 2.72-21.07), regardless of CUD.

CONCLUSIONS

A history of CUD did not appear to confer additional risk for perinatal cigarette use. Given increasing rates of cannabis use among pregnant women, these results highlight the importance of addressing history of cannabis use in conjunction with tobacco use to improve smoking cessation efforts.

Association between Smoking Cannabis and Quitting Cigarettes in a Large American Cancer Society Cohort

BACKGROUND

Cannabis use is increasing, including among smokers, an at-risk population for cancer. Research is equivocal on whether using cannabis inhibits quitting cigarettes. The current longitudinal study investigated associations between smoking cannabis and subsequently quitting cigarettes.

METHODS

Participants were 4,535 adult cigarette smokers from a cohort enrolled in the American Cancer Society's Cancer Prevention Study-3 in 2009-2013. Cigarette quitting was assessed on a follow-up survey in 2015-2017, an average of 3.1 years later. Rates of quitting cigarettes at follow-up were examined by retrospectively assessed baseline cannabis smoking status (never, former, recent), and by frequency of cannabis smoking among recent cannabis smokers (low: ≤3 days/month; medium: 4-19 days/month; high: ≥20 days/month). Logistic regression models adjusted for sociodemographic factors, smoking- and health-related behaviors, and time between baseline and follow-up.

RESULTS

Adjusted cigarette quitting rates at follow-up did not differ significantly by baseline cannabis smoking status [never 36.2%, 95% confidence interval (CI), 34.5-37.8; former 34.1%, CI, 31.4-37.0; recent 33.6%, CI, 30.1-37.3], nor by frequency of cannabis smoking (low 31.4%, CI, 25.6-37.3; moderate 36.7%, CI, 30.7-42.3; high 34.4%, CI, 28.3-40.2) among recent baseline cannabis smokers. In cross-sectional analyses conducted at follow-up, the proportion of cigarette smokers intending to quit smoking cigarettes in the next 30 days did not differ by cannabis smoking status (P = 0.83).

CONCLUSIONS

Results do not support the hypothesis that cannabis smoking inhibits quitting cigarette smoking among adults.

IMPACT

Future longitudinal research should include follow-ups of >1 year, and assess effects of intensity/frequency of cannabis use and motivation to quit on smoking cessation.

Increasing cannabis use is associated with poorer cigarette smoking cessation outcomes: Findings from the ITC Four Country Smoking and Vaping Surveys, 2016-2018

INTRODUCTION

Concurrent use (co-use) of tobacco and cannabis may impede successful cigarette smoking cessation. This study examined whether changes in cannabis use frequency were associated with smoking cessation.

METHODS

Nationally representative samples of adult cigarette smokers from Canada (n=1455), the United States (n=892), England (n=1416), and Australia (n=717) were surveyed in 2016 and 2018. In each year, smokers reported how often they used cannabis in the previous 12 months. Reports were compared to determine whether cannabis use increased, remained unchanged, or decreased. Smoking cessation outcomes, measured in 2018, were (1) any attempt to quit in the previous year, (2) currently quit, and (3) currently quit for at least 6 months. Weighted multivariable logistic regression estimated the association between changes in cannabis use and cessation outcomes.

RESULTS

Cigarette smokers who increased their frequency of cannabis use were significantly less likely to be currently quit than non-cannabis using smokers (adjusted odds ratio (aOR) = 0.52, 95% CI: 0.31, 0.86); they were also less likely to have quit for at least 6 months (aOR = 0.30; 95% CI: 0.15, 0.62).

CONCLUSIONS

Smokers who increase their frequency of cannabis use have poorer smoking cessation outcomes compared to non-cannabis using smokers. It will be important to monitor the impact of cannabis legalization on patterns of cannabis use, and whether this influences cigarette smoking cessation rates.

Self-reported reductions in tobacco and nicotine use following medical cannabis initiation: Results from a cross-sectional survey of authorized medical cannabis patients in Canada

BACKGROUND

Despite decades of campaigns aimed at reducing tobacco/nicotine (T/N) use and the development of many different T/N reduction and cessation strategies, the impacts on international public health remain significant. Some studies have found an association between medical and non-medical cannabis use and T/N use, although the evidence on whether cannabis/cannabinoids increase or decrease the odds of reducing or ceasing T/N use remain contradictory. This paper explores the self-reported use of cannabis and associated changes in T/N use among a Canadian medical cannabis patient population.

METHODS

This study examines the impact of medical cannabis on T/N use by comparing self-reported patterns of use before and after the initiation of medical cannabis. Participants completed an online cross-sectional survey examining demographics, patterns of medical cannabis use, and the impact of medical cannabis on the use of T/N and other substances. The survey also included novel measures examining whether patients intended to use medical cannabis to reduce T/N use or had experience with other pharmacological or psychobehavioral T/N cessation strategies. We conducted a series of descriptive analyses and univariate and multivariate logistic regressions to explore the potential association between primary variables of interest and T/N reduction and cessation.

RESULTS

In total, the study recruited 2102 individuals, of whom 650 were current or former T/N users. Following initiation of medical cannabis use 320 (49%) T/N users self-reported reductions in use, with 160 (24.6%) reporting no T/N use in the 30 days prior to the survey. Odds of T/N cessation were greater among those who were age 55 or older (Adjusted Odds Ratio [AOR] = 2.56, 95% Confidence Interval [CI] 1.53-4.26), or those who reported >25 T/N uses per day in the pre-period (AOR = 2.11, 95% CI 1.14-3.92). Specific intent to use medical cannabis to quit resulted in significantly greater odds of reducing T/N use (AOR = 2.79, 95% CI 1.49-5.22); however, involvement with traditional T/N cessation treatments (pharmacological or psychobehavioral) was negatively associated with T/N cessation (AOR 0.39, 95% CI 0.18-0.86).

CONCLUSIONS

Results from this retrospective survey of medical cannabis users suggest that initiation of medical cannabis use was associated with self-reported reductions and/or cessation of T/N use in nearly half of study participants. In light of the significant morbidity, mortality, and health care costs related to T/N dependence, future research should further evaluate the potential of cannabis-based treatments to support efforts to reduce or cease T/N use.

Prenatal exposure to tobacco and cannabis, early cannabis initiation, and daily dual use of combustible cigarettes and cannabis during young adulthood

INTRODUCTION

Daily combustible cigarette use is common among cannabis users, and dual use of cigarettes and cannabis is associated with detrimental outcomes. This study addresses gaps in the literature by examining data from the prenatal and adolescent phases of a prospective, longitudinal study to predict adult daily dual use.

METHODS

Young adult offspring (M age = 22.8 years, 53% female) from a prenatal cohort reported on combustible cigarette and cannabis use (N = 500, 58% Black, 42% White). Pathways to daily dual use were modeled using variables from the gestational and adolescent phases of the study including prenatal tobacco, alcohol, and cannabis exposures; ages at initiation of cigarettes and cannabis; and adolescent learning/memory, impulsivity, and behavior problems.

RESULTS

Prenatal cannabis and tobacco use were not directly linked to adult daily dual use of cannabis and tobacco. However, structural equation modeling revealed three significant indirect pathways from prenatal cigarette and cannabis exposures to adult daily dual use of cigarettes and cannabis via early cigarette initiation, early cannabis initiation, and adolescent behavior problems.

CONCLUSIONS

This study identified pathways from prenatal cannabis and tobacco exposure to adult daily dual use, in addition to clarifying adolescent outcomes that may be part of the pathways. In a climate of growing acceptance of cannabis use and increasing legalization of recreational use, these findings serve as a warning that early exposure to cannabis may have an important role in shaping long-term dual use of tobacco and cannabis.

Addressing concerns about smoking cessation and mental health: theoretical review and practical guide for healthcare professionals

Smoking rates in people with depression and anxiety are twice as high as in the general population, even though people with depression and anxiety are motivated to stop smoking. Most healthcare professionals are aware that stopping smoking is one of the greatest changes that people can make to improve their health. However, smoking cessation can be a difficult topic to raise. Evidence suggests that smoking may cause some mental health problems, and that the tobacco withdrawal cycle partly contributes to worse mental health. By stopping smoking, a person's mental health may improve, and the size of this improvement might be equal to taking anti-depressants. In this theoretical review and practical guide we outline ways in which healthcare professionals can raise the topic of smoking compassionately and respectfully to encourage smoking cessation. We draw on evidence-based methods like cognitive behavioural therapy, and outline approaches that healthcare professionals can use to integrate these methods into routine care.

The relationship between asthma diagnosis and E-Cigarette use among youth and young adults: the mediation effects of anxiety, depression, and impulsivity and the moderation effects of substance use

INTRODUCTION

Youth and young adults with asthma use electronic cigarettes (e-cigarettes) at a higher rate than those without asthma. However, the factors that influence e-cigarette use in this vulnerable population are scarce. Therefore, the study aim was to assess the effects of anxiety, depression, impulsivity, and substance use in the relationship between e-cigarette use and youth and young adults with asthma status.

METHOD

We enrolled youth and young adults (15-25 years old) in Alabama with a clinical diagnosis of asthma (n = 151) or without a diagnosis of any chronic pulmonary disease (n = 132; reference group). Validated questionnaires were administered to collect demographic data and assess susceptibility to e-cigarette use, current use of e-cigarettes, anxiety, depression, impulsivity, and substance use (alcohol and cannabis). We then conducted parallel mediation analyses to test the mediational effects of anxiety, depression, and impulsivity, and moderation analyses to assess the moderation effects of substance use in the relationship between asthma and e-cigarette use.

RESULTS

Susceptibility to e-cigarette use and current use of e-cigarettes were both lower among youth and young adults with asthma. After controlling for covariates, anxiety, depression, and impulsivity were not significant mediators of the relationships between asthma and susceptibility to e-cigarette use and current use of e-cigarettes. However, the frequency of cannabis use in the past 30 days moderated the relationship between asthma and susceptibility to e-cigarette use (Unstandardized beta = - 2.03, p = 0.046), such that more frequent cannabis use was associated with less susceptibility.

CONCLUSION

Among youth and young adults with asthma, cannabis use was associated with reduced susceptibility to e-cigarette use. Longitudinal assessments of this population are needed to better assess the temporal relationship between asthma, comorbid substance use, and e-cigarette use among young people with asthma to avoid pulmonary complications.

Treatment Implications Associated with Cannabis and Tobacco Co-Use

PURPOSE OF THE REVIEW

The goal of this article is to summarize the treatment-focused literature on cannabis and tobacco co-use and the treatment implications of co-use. This review will focus on: 1) the impact of co-use on cessation outcomes, 2) compensatory use/substitution of the non-treated substance among co-users, and 3) treatment interventions to address co-use. This article will highlight the limitations to co-use captured in the literature and offer considerations and directives for co-use research and treatment moving forward.

RECENT FINDINGS

The degree to which co-use affects cessation for a single, targeted substance remains in question, as the literature is largely mixed. Cannabis treatment trials are better equipped to answer these questions given that they do not typically exclude tobacco users. While the relationship between tobacco use and poorer cannabis outcomes appears to have some evidence, the reverse relationship (cannabis use affecting tobacco outcomes) is not consistently supported.

SUMMARY

The co-use of cannabis and tobacco and its impact on single substance cessation and/or compensatory substance use during cessation is generally overlooked in treatment trials, while interventions to address both substances are rare. Capturing co-use adds burden for researchers, clinicians, and participants, but is warranted given the prevalence of co-use and a rapidly changing cannabis and tobacco regulatory environment, which may further complicate co-occurring substance use. Co-users are a heterogeneous population; trials focused on co-users, in addition to better data capture and consistent terminology, will aid in an understanding of nuanced patterns of co-use critical to inform treatment interventions.

Cannabis and Alcohol Co-Use in a Smoking Cessation Pharmacotherapy Trial for Adolescents and Emerging Adults

INTRODUCTION

The co-use of cannabis and alcohol among tobacco-using youth is common. Alcohol co-use is associated with worse tobacco cessation outcomes, but results are mixed regarding the impact of cannabis on tobacco outcomes and if co-use leads to increased use of non-treated substances. This secondary analysis from a youth smoking cessation trial aimed to (1) evaluate the impact of cannabis or alcohol co-use on smoking cessation, (2) examine changes in co-use during the trial, and (3) explore secondary effects of varenicline on co-use.

METHODS

The parent study was a 12-week, randomized clinical trial of varenicline for smoking cessation among youth (ages 14-21, N = 157; Mage = 19, 40% female; 76% White). Daily cigarette, cannabis, and alcohol use data were collected via daily diaries during treatment and Timeline Follow-back for 14 weeks post-treatment.

RESULTS

Baseline cannabis co-users (68%) had double the odds of continued cigarette smoking throughout the trial compared with noncannabis users, which was pronounced in males and frequent cannabis users. Continued smoking during treatment was associated with higher probability of concurrent cannabis use. Baseline alcohol co-users (80%) did not have worse smoking outcomes compared with nonalcohol users, but continued smoking was associated with higher probability of concurrent drinking. Varenicline did not affect co-use.

CONCLUSIONS

Inconsistent with prior literature, results showed that alcohol co-users did not differ in smoking cessation, whereas cannabis co-users had poorer cessation outcomes. Youth tobacco treatment would benefit from added focus on substance co-use, particularly cannabis, but may need to be tailored appropriately to promote cessation.

IMPLICATIONS

Among youth cigarette smokers enrolled in a pharmacotherapy evaluation clinical trial, alcohol and/or cannabis co-use was prevalent. The co-use of cannabis affected smoking cessation outcomes, but more so for males and frequent cannabis users, whereas alcohol co-use did not affect smoking cessation. Reductions in smoking were accompanied by concurrent reductions in alcohol or cannabis use. Substance co-use does not appear to affect all youth smokers in the same manner and treatment strategies may need to be tailored appropriately for those with lower odds of smoking cessation.

A Digital Smoking Cessation Program for Heavy Drinkers: Pilot Randomized Controlled Trial

Background

Heavy drinking (HD) is far more common among smokers compared with nonsmokers and interferes with successful smoking cessation. Alcohol-focused smoking cessation interventions delivered by counselors have shown promise, but digital versions of these interventions—which could have far greater population reach—have not yet been tested.

Objective

This pilot randomized controlled trial aimed to examine the feasibility, acceptability, and effect sizes of an automated digital smoking cessation program that specifically addresses HD using an interactive web-based intervention with an optional text messaging component.

Methods

Participants (83/119, 69.7% female; 98/119, 82.4% white; mean age 38.0 years) were daily smokers recruited on the web from a free automated digital smoking cessation program (BecomeAnEX.org, EX) who met the criteria for HD: women drinking 8+ drinks/week or 4+ drinks on any day and men drinking 15+ drinks/week or 5+ drinks on any day. Participants were randomized to receive EX with standard content (EX-S) or an EX with additional content specific to HD (EX-HD). Outcomes were assessed by web-based surveys at 1 and 6 months.

Results

Participants reported high satisfaction with the website and the optional text messaging component. Total engagement with both EX-S and EX-HD was modest, with participants visiting the website a median of 2 times, and 52.9% of the participants enrolled to receive text messages. Participants in both the conditions showed substantial, significant reductions in drinking across 6 months of follow-up, with no condition effects observed. Although smoking outcomes tended to favor EX-HD, the condition effects were small and nonsignificant. A significantly smaller proportion of participants in EX-HD reported having a lapse back to smoking when drinking alcohol (7/58, 16%) compared with those in EX-S (18/61, 41%; χ²₁=6.2; P=.01).

Conclusions

This is the first trial to examine a digital smoking cessation program tailored to HD smokers. The results provide some initial evidence that delivering such a program is feasible and may reduce the risk of alcohol-involved smoking lapses. However, increasing engagement in this and other web-based interventions is a crucial challenge to address in future work.

Trial Registration

ClinicalTrials.gov NCT03068611; https://clinicaltrials.gov/ct2/show/NCT03068611

A randomized clinical trial of motivational interviewing plus skills training vs. Relaxation plus education and 12-Steps for substance using incarcerated youth: Effects on alcohol, marijuana and crimes of aggression

BACKGROUND

Motivational Interviewing plus Cognitive Behavior Therapy (MI/CBT) has been used to reduce adolescent substance use, but has rarely been applied in youth correctional settings. This trial compared MI/CBT against Relaxation Training plus Substance-Education/12-Steps (RT/SET) to reduce substance use and crime among incarcerated youth.

METHODS

Participants (N = 199) were incarcerated juveniles (64.8 % non-White, 10.1 % girls, mean age of 17.1 years). Two individual sessions of MI (or RT) were followed by 10 group sessions of CBT (or SET). Youth were randomized to condition with follow-ups at 3- and 6-months after release. Major outcomes included alcohol, marijuana and crimes involving aggression.

RESULTS

A marginal treatment by time interaction was found for percent heavy drinking days, with follow-up tests indicating less alcohol use in RT/SET than MI/CBT at 6 months, and increased use within MI/CBT from 3 to 6 months. A significant treatment by time interaction was found for alcohol-related predatory aggression, with follow-up tests indicating fewer youth engaged in this behavior from 3 to 6 months within RT/SET, and weak evidence favoring MI/CBT over RT/SET at 3 months. General predatory aggression decreased from 3 to 6-months for both treatments.

CONCLUSIONS

Although weak evidence was found favoring MI/CBT with respect to alcohol-related predatory aggression, results generally support RT/SET in reducing percent heavy drinking days.

Is cannabis use associated with tobacco cessation outcome? An observational cohort study in primary care

BACKGROUND

Some studies suggest cannabis use negatively affects tobacco cessation outcomes, but findings have been mixed. We examined whether cannabis use was associated with tobacco cessation outcomes in a real-world primary care setting.

METHODS

The analytic dataset consisted of 35,246 patients who enrolled between 2014 and 2016 in a primary care-based smoking cessation program in Ontario, Canada. Past 30-day cannabis use, for recreational or medical purposes, was self-reported at enrollment. Thirty-day point prevalence tobacco smoking abstinence was self-reported via online or telephone survey at 6 months post-enrollment.

RESULTS

Thirty days prior to enrollment, 79.9 % of patients had not used cannabis, 16.3 % used cannabis for recreational purposes only, and 3.8 % used cannabis for medical purposes. Unadjusted and adjusted odds of tobacco cessation at 6 months were reduced for patients using cannabis compared to non-users (ORs = 0.76-0.86, ps<0.05). When cannabis use was categorized by purpose, both unadjusted and adjusted odds of cessation were significantly lower for recreational users (ORs = 0.77-0.84, ps<0.05). Medical users had decreased odds of cessation in unadjusted analysis (OR = 0.74, 95 % CI = 0.61-0.89, p = 0.001), but not after adjustment for potential confounders. However, post-estimation contrasts did not indicate a significant difference between the effect of recreational and medical cannabis use.

CONCLUSIONS

In a large real-world sample of patients seeking smoking cessation treatment, concurrent cannabis use was associated with decreased success with quitting smoking. Recreational cannabis use was consistently related to poorer cessation outcomes, but medical use was not. Additional research is needed to inform treatment strategies for this growing sub-population of smokers.

The Relationship Between Tobacco and Cannabis Use: A Review

BACKGROUND

Based on the prevalence and health implications of tobacco and cannabis use, aiming to reduce their use, especially among youth, is a sound objective at both the individual and public health level. A proper understanding of the relationships between tobacco and cannabis use may help to achieve this goal.

OBJECTIVES

To review the relationships between tobacco and cannabis use.

METHODS

A selective review of the literature.

RESULTS

We present an overview of the motivations for tobacco and cannabis use, and their perceived harmfulness. The article then reviews the gateway theory, reverse gateway theory, route of administration theory, and common liability theory. We describe the link between co-use and dependence symptoms, and the substitution phenomenon between tobacco and cannabis use. Three forms of simultaneous use-mulling, blunt smoking, and chasing-and their impacts are explained. We summarize the impact of tobacco use on cannabis (and vice versa) treatment outcomes, and, finally, review new treatments that simultaneously target tobacco and cannabis dependence. Most of the literature reviewed here relates to substance use among adolescents and young adults.

CONCLUSIONS

The use of tobacco and cannabis-two of the most widely used substances around the world-are strongly intertwined in several respects. Both health professionals and researchers should have well-informed views on this issue to better evaluate, understand, inform, and provide care to their patients.

Cannabis use during alcohol treatment is associated with alcohol-related problems one-year post-treatment

BACKGROUND

Prior research shows that cannabis use during treatment for Alcohol Use Disorders (AUD) is related to fewer abstinent days from alcohol, although only among those who use cannabis 1-2x/month. Here we extend prior research by assessing the relationship between the frequency of cannabis use during AUD treatment and post-treatment alcohol-related consequences.

METHODS

Data come from the Combined Pharmacotherapies and Behavioral Interventions (COMBINE) Study, a large US randomized control trial of treatments for AUD. The current analyses include 206 cannabis users and 999 cannabis abstainers and compare longitudinal drinking data between those who used cannabis versus those who abstained during COMBINE treatment. The primary exposure was quartiles of cannabis use (Q1: less than 1x/month during treatment, Q2: 1-2x/month, Q3: 4-8x/month, Q4: 12x/month or more), with cannabis abstainers as the reference group. Outcomes were alcohol-related problems at the end of treatment and one-year post-treatment as measured by the Drinker Inventory Consequences.

RESULTS

Compared to cannabis abstinence, the most frequent use during treatment was related to 1.44 times as many physical consequences one-year post-treatment. Cannabis use was not related to physical consequences immediately after treatment, or to intrapersonal, interpersonal, social responsibility or impulse control problems at either post-treatment time point.

CONCLUSIONS

In a sample of individuals in treatment for AUD, using cannabis 12x/month or more during treatment is associated with increased rates of physical consequences attributed to alcohol use. Individuals in treatment for AUD who also use cannabis might benefit from reducing or stopping cannabis use to avoid alcohol-related physical problems.

Associations between marijuana use and tobacco cessation outcomes in young adults

Marijuana and tobacco co-use is common among young adults, and findings are mixed regarding the association between marijuana use and smoking cessation outcomes. This study examined the longitudinal relationships between marijuana use and smoking cessation outcomes among young adults (aged 18-25 years; N = 500) enrolled in a 3-month smoking cessation intervention on Facebook. At baseline and 3, 6, and 12 months, participants reported their marijuana use and their smoking behaviors (seven-day point prevalence abstinence from smoking, cigarettes per day, quit attempts) and readiness to quit. Longitudinal analyses controlled for experimental condition and adjusted for baseline stage of change, baseline average cigarettes per day, sex, alcohol use, and age participants began smoking regularly. Use of marijuana by young adult smokers was associated with a lower likelihood of reduced smoking (OR = 0.71, 95% CI [0.51, 0.98], p = .036) and a lower likelihood of abstaining from smoking (OR = 0.56, 95% CI [0.35, 0.90], p = .017) in the past seven days, as assessed over 12 months of follow-up. Use of marijuana was not significantly associated with perceptions of or engagement in the smoking cessation intervention, stage of change for quitting smoking, or tobacco quit attempts (all p's > 0.08). Study findings indicate that while marijuana use is unrelated to motivation to quit tobacco and engage in cessation interventions, marijuana use is associated with less success in reducing and abstaining from tobacco. Additional support and targeted tobacco cessation strategies to address challenges associated with marijuana co-use may be needed.

French smoking cessation services provide effective support even to the more dependent

OBJECTIVE

France is one the few European countries offering a national quit line along with partially cost-covered nicotine replacement therapy (NRT) and cessation services. This study assesses outcomes and predictors of continued abstinence in French smoking cessation services.

METHOD

The French national smoking cessation registry (CDTnet) included 23,810 adult smokers followed-up between 2011 and 2013. We assessed 1-month continued abstinence among 10,161 who initiated a quit attempt before or during follow-up. Predictors of abstinence were determined using multivariable regression model.

RESULTS

Among quitters, 45.2% achieved CO-validated abstinence. Prescription of pharmacotherapy was associated with abstinence rates as high as 47% for combination NRT and 53% for varenicline. The effect of behavioural support associated with combination NRT versus behavioural support alone increased with attendance: OR 1.11 (95% CI 0.89-1.39) for 2-3 visits, OR 1.43 (95% CI 1.13-1.80) for 4-6 visits, OR 1.60 (95% CI 1.21-2.12) for ≥7 visits. Unemployed participants were as likely to be successful as participants in employment (OR 0.88; 95% CI 0.75-1.04). High cigarette dependence also did not significantly hinder abstinence. Young adults achieved the lowest abstinence rates. Predictors that significantly reduced odds of abstinence were: being aged 18 to 24 and a history of alcohol abuse.

CONCLUSION

With adapted treatment, even the more dependent or less affluent maintained abstinence. Our findings suggest that French cessation services have been successful in providing cessation support. Nevertheless, there is room for improvement in tailoring treatment for some subgroups of smokers.

Withdrawal exposure with withdrawal regulation training for smoking cessation: a randomized controlled pilot trial

INTRODUCTION

Although withdrawal processes form a key motivational basis for cigarette use, smoking cessation treatments appear to exert only modest effects on withdrawal. One treatment option for further reducing withdrawal severity would be to provide smokers with withdrawal regulation training. The objective of this study was to pilot a smoking cessation intervention comprising withdrawal exposure with withdrawal regulation training.

METHODS

Adult smokers (N=80) were randomized to one of two conditions: 1) Withdrawal Exposure with Withdrawal Regulation Training (WT), which included the development and application of individualized withdrawal regulation strategies over four separate sessions that spanned the first four hours of abstinence; 2) or Relaxation Control (RC) training, which controlled for the therapeutic contact of WT. All sessions occurred before the quit date, after which differential treatment was discontinued and all participants received brief counseling, nicotine replacement therapy, and self-help literature. Biochemically-confirmed (CO≤3) seven-day point-prevalence abstinence was assessed at Months 2 and 3 after end-of-treatment.

RESULTS

Treatment completion and ratings of credibility and efficacy were high and equivalent across conditions. 22.2% of participants in the WT condition were abstinent at both time points, whereas 0% and 4.2% of participants in the RC condition were abstinent at Months 2 and 3 (Month 3 OR=6.5 [0.73, 59.19]). In-session withdrawal ratings suggested WT improved regulation of withdrawal symptoms, which were in turn associated with abstinence.

CONCLUSIONS

This small pilot study suggests that WT promotes abstinence by enhancing withdrawal regulation. Results warrant further investigation of this innovative treatment approach.

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).

If at first you don't succeed: characterization of smokers with late smoking abstinence onset

INTRODUCTION

Most cigarette smoking cessation research has aimed to clarify characteristics associated with initial and sustained abstinence, with less attention paid to predictors of gaining abstinence following an initial failure.

METHODS

The current investigation explored pre-treatment demographic, smoking, and psychiatric characteristics related to gaining abstinence among smokers who failed to attain initial abstinence. Participants were 809 individuals enrolled in extended, 52-week, smoking cessation interventions. Of these, 287 (62.4%) failed to achieve initial abstinence. Gaining abstinence following initial abstinence failure was defined as achieving seven-day point prevalent abstinence at any post-initial abstinence assessment.

RESULTS

Those who gained abstinence (Gainers) were more likely to have a live-in partner (χ(2)(1, N=283)=3.8, p=.05, Cramér's V=.12), identify as Hispanic (χ(2)(1, N=281)=7.8, p<.01, Cramér's V=.17), evidence lower baseline expired breath carbon monoxide (F(1, 284)=5.7, p=.02, η(2)=.02), report less cigarette dependence (F(1, 278)=7.1, p<.01, η(2)=.03), and report past week cannabis use (χ(2)(1, N=284)=5.6, p=.02, Cramér's V=.14). A logistic regression model suggested that having a live-in partner (OR=5.14, 95% CI=1.09-3.02, p=.02) and identifying as Hispanic (OR=4.93, 95% CI=1.20-18.77, p=.03) increased the odds of gaining abstinence.

DISCUSSION

Having a live-in partner, Hispanic status, greater cigarette dependence, and recent cannabis use were associated with gaining abstinence. These findings provide insight into an understudied area, contributing an initial framework toward understanding gaining abstinence following initial failure.

The relationship between methamphetamine and alcohol use in a community sample of methamphetamine users

BACKGROUND

While methamphetamine (MA) and alcohol are often used in combination, little is known about the pattern of co-use between these substances. The goal of the present study is to examine the relationship between MA use and alcohol use in a community sample of non-treatment seeking regular MA users.

METHODS

Participants completed a face-to-face assessment battery, which included a diagnostic interview for MA dependence and the timeline follow-back interview for both alcohol and MA use over the past 30 days. Sixty regular MA and alcohol users supplied data for 1800 person-days.

RESULTS

Compared with non-drinking days, drinking days and binge drinking days increased the odds of same day MA use by 4.22 and 4.50 times, respectively (p's<0.0001). Further, binge drinking incrementally increased risk for MA use above and beyond the effects of drinking itself (p<0.0001). Lagged models revealed previous day MA use to predict following day MA use (p<0.0001), yet, after controlling for this relationship, neither previous day alcohol use nor previous day binge drinking predicted following-day MA use. Finally, the effect of binge drinking on MA use was stronger among individuals with lower MA dependence severity or higher alcohol problem severity (p's<0.05).

CONCLUSIONS

These results suggest that alcohol and MA are co-used in predictable patterns, and in particular, that binge drinking may be incrementally associated with the likelihood of MA use. Future studies are needed to explore the temporal relationship between alcohol and MA use within a given episode.

Direct and indirect associations between social anxiety and nicotine dependence and cessation problems: multiple mediator analyses

INTRODUCTION

Little empirical work has evaluated why socially anxious smokers are especially vulnerable to more severe nicotine dependence and cessation failure. Presumably, these smokers rely on cigarettes to help them manage their chronically elevated negative affect elicited by a wide array of social contexts.

METHODS

The current study examined the direct and indirect effects of social anxiety cross-sectionally in regard to a range of smoking processes among 466 treatment-seeking smokers. Negative affect and negative affect reduction motives were examined as mediators of the relations of social anxiety with nicotine dependence and cessation problems.

RESULTS

Social anxiety was directly and robustly associated with perceived barriers to smoking cessation and problems experienced during past quit attempts. Social anxiety was also associated with greater nicotine dependence and smoking inflexibility indirectly through negative affect and negative affect smoking motives. Negative affect and smoking to reduce negative affect mediated these relations.

CONCLUSIONS

These findings document the important role of negative affect and negative affect reduction motives in the relationships of social anxiety with nicotine dependence and cessation problems.

Length of smoking deprivation moderates the effects of alcohol administration on urge to smoke

Although smoking deprivation is often used in laboratory studies to induce urges to smoke cigarettes, the optimal length of deprivation has not been established. Previous research showed that overnight abstinence from cigarettes led to high baseline urge to smoke that potentially masked alcohol's acute effects on urge to smoke (Kahler et al., 2012). The current study examined whether alcohol's effects on smoking urge were more pronounced when a shorter length of smoking deprivation was used (i.e., 3h instead of overnight abstinence). Using a balanced placebo design for alcohol administration, we found that participants experienced a significant increase in self-reported urge to smoke when administered alcohol after a 3-h smoking deprivation (n=32), whereas this effect was smaller and nonsignificant when smokers were required to be abstinent overnight (n=96). Research on factors that heighten smoking urges may find stronger effects if a 3-h deprivation is used compared to using overnight abstinence.

Young adults who smoke cigarettes and marijuana: analysis of thoughts and behaviors

INTRODUCTION

Smoking both cigarettes and marijuana is increasingly common among young adults, yet little is known about use patterns, motivations, or thoughts about abstinence. In a U.S. sample, this study explored young adults' severity of cigarette and marijuana co-use, quit attempts, and thoughts about use.

METHODS

Young adults age 18-to-25 who had smoked at least one cigarette in the past 30 days completed an anonymous online survey.

RESULTS

Of 1987 completed surveys, 972 participants reported both past-month cigarette and marijuana use (68% male, 71% Caucasian, mean age 20.4 years [SD=2.0]). Frequency of use, temptations to use, measures of dependence, decisional balance, and past-year quit attempts were associated across the two substances (all p<.05), but not motivation to quit. Relative to marijuana, participants reported greater desire and a later stage of change for quitting cigarettes and were more likely to endorse a cigarette abstinence goal, yet they had lower expectancy of success with quitting cigarettes and with staying quit (all p<.001).

CONCLUSIONS

Cigarette and marijuana use, temptations to use, and pros/cons of using were related in this young adult sample. Differences in motivation and thoughts about abstinence, however, suggest that young adults may be more receptive to interventions for tobacco than marijuana use. Use patterns and cognitions for both substances should be considered in prevention and intervention efforts.

Tobacco, alcohol and cannabis use during pregnancy: clustering of risks

BACKGROUND

Antenatal substance use poses significant risks to the unborn child. We examined use of tobacco, alcohol and cannabis among pregnant Aboriginal and Torres Strait Islander women; and compared characteristics of women by the number of substances reported.

METHODS

A cross-sectional survey with 257 pregnant Indigenous women attending antenatal services in two states of Australia. Women self-reported tobacco, alcohol and cannabis use (current use, ever use, changes during pregnancy); age of initiation of each substance; demographic and obstetric characteristics.

RESULTS

Nearly half the women (120; 47% (95%CI:40%, 53%) reported no current substance use; 119 reported current tobacco (46%; 95%CI:40%, 53%), 53 (21%; 95%CI:16%, 26%) current alcohol and 38 (15%; 95%CI:11%, 20%) current cannabis use. Among 148 women smoking tobacco at the beginning of pregnancy, 29 (20%; 95%CI:14%, 27%) reported quitting; with 80 of 133 (60%; 95%CI:51%, 69%) women quitting alcohol and 25 of 63 (40%; 95%CI:28%, 53%) women quitting cannabis. Among 137 women reporting current substance use, 77 (56%; 95%CI:47%, 65%) reported one and 60 (44%; 95%CI:35%, 53%) reported two or three. Women using any one substance were significantly more likely to also use others. Factors independently associated with current use of multiple substances were years of schooling and age of initiating tobacco.

CONCLUSIONS

While many women discontinue substance use when becoming pregnant, there is clustering of risk among a small group of disadvantaged women. Programmes should address risks holistically within the social realities of women's lives rather than focusing on individual tobacco smoking. Preventing uptake of substance use is critical.

Psychiatric, psychosocial, and physical health correlates of co-occurring cannabis use disorders and nicotine dependence

BACKGROUND

Several gaps in the literature on individuals with co-occurring cannabis and tobacco use exist, including the extent of psychiatric, psychosocial, and physical health problems. We examine these gaps in an epidemiological study, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), of a large, nationally representative sample.

METHODS

The sample was drawn from Wave 2 NESARC respondents (N=34,653). Adults with current cannabis use disorders and nicotine dependence (CUD+ND) (n=74), CUD only (n=100), and ND only (n=3424) were compared on psychiatric disorders, psychosocial correlates (e.g., binge drinking; partner violence), and physical health correlates (e.g., medical conditions).

RESULTS

Relative to those with CUD only, respondents with CUD+ND were significantly more likely to meet criteria for bipolar disorder, Clusters A and B personality disorders, and narcissistic personality disorder, and reported engaging in a significantly higher number of antisocial behaviors. Relative to those with ND only, respondents with CUD+ND were significantly more likely to meet criteria for bipolar disorder, anxiety disorders, and paranoid, schizotypal, narcissistic, and borderline personality disorders; were significantly more likely to report driving under the influence of alcohol and being involved in partner violence; and reported engaging in a significantly higher number of antisocial behaviors. CUD+ND was not associated with physical health correlates.

CONCLUSIONS

Poor treatment outcomes for adults with co-occurring cannabis use disorders and nicotine dependence may be explained in part by differences in psychiatric and psychosocial problems.

Expectancies for smoking cessation among drug-involved smokers: implications for clinical practice

Drug-involved smokers may be less motivated to quit smoking because they expect smoking cessation to occasion adverse outcomes (e.g., exacerbation of drug use). Non-treatment-seeking adult smokers from the community (N=507) reported drug involvement, expectancies for smoking abstinence via the Smoking Abstinence Questionnaire (SAQ), and motivation to quit smoking (desire to quit and abstinence goal). Mediation analyses evaluated the indirect effects of binge drinking, marijuana, cocaine, other stimulant, opiate, and barbiturate/other sedative involvement on motivation to quit smoking through the SAQ Adverse Outcomes scale. Adverse outcomes expectancies accounted for a reduced desire to quit smoking and a lower likelihood of endorsing a goal of complete smoking abstinence among those involved with binge drinking, marijuana, cocaine, other stimulants, opiates, and barbiturates/other sedatives. Drug-involved smokers' greater expectancies for adverse outcomes upon quitting smoking may deter smoking quit attempts. Interventions are encouraged to counteract the notion that smoking cessation jeopardizes sobriety.

Alcohol consumption and urges to smoke among women during a smoking cessation attempt

Laboratory and ad libitum smoking studies have indicated that alcohol consumption increases the frequency and intensity of smoking urges. However, few studies have examined the relation between smoking urges and alcohol use in natural settings during a quit attempt. The purpose of this study was to examine the relationships between smoking urge and alcohol use in women who reported drinking on at least one occasion during the first 7 days of a smoking quit attempt (N = 134). Participants were asked to use a palmtop computer to complete assessments that recorded smoking urges and recent alcohol use. Multilevel analyses examined the relation between smoking urge parameters and alcohol use. Smoking urges were higher during assessments where alcohol had been recently consumed compared to assessments where no alcohol had been consumed. Interestingly, the first urge rating of the day was higher and urges were more volatile on days where alcohol would eventually be consumed as compared to days where no alcohol was consumed. A closer examination of urge parameters on drinking days indicated that smoking urge trajectory was significantly flatter and urge volatility was significantly higher following alcohol consumption. However, smoking urge trajectory also flattened later in the day on nondrinking days. The findings suggest that there may be reciprocal relations between smoking urge and alcohol use (e.g., higher initial urges and more volatile urges may increase the likelihood of alcohol use, and alcohol use may impact within-day smoking urge parameters), and these relations could potentially impact smoking cessation and relapse.