Changes in Tobacco Smoking Following Treatment for Cocaine Dependence

Incorporation of smoking cessation into cocaine treatment programs remains a challenge. A major concern is that cocaine abusers may tend to substitute one drug for the other. If this is true, successful treatment of cocaine abuse should lead to an increase in tobacco smoking. We compared tobacco smoking at admission, end of treatment and 9-month follow up for 168 crack cocaine dependent patients entering a 12-week outpatient treatment program for substance abuse. Smoking cessation was not a part of treatment. As expected cocaine patients improved with treatment and showed significant reduction in scores on the Addiction Severity Index (ASI). There were no significant changes in number of cigarettes smoked per day or scores on the Fagerstrom Test for Nicotine dependence (FTND) from baseline to end of treatment or follow-up. Also, there were no differences in the proportions of nonsmokers and smokers who changed their smoking habits over the treatment and follow up period. At follow up subjects who were abstinent as well as those using cocaine showed no changes in tobacco smoking. There is no evidence that reduction in crack cocaine smoking following treatment is accompanied by an increase in tobacco smoking. It appears that concerns over tobacco being substituted for cocaine may be unfounded in this population.     

Cigarette smoking is associated with increased severity of gambling problems in treatment-seeking gamblers

Aims Cigarette smoking and gambling often co‐occur, but very little is known about smoking or its correlates in disordered gamblers. This study compared gambling and psychosocial problems in treatment‐seeking gamblers who smoke versus those who do not. Methods At intake to gambling treatment programs, gamblers completed the addiction severity index (ASI) and gambling questionnaires. Subjects were categorized into non‐daily smokers (n = 107) and daily smokers (n = 210). Differences in demographics, gambling variables and ASI composite scores were compared between the groups. Results The daily smokers were more likely to have a history of treatment for a substance use disorder than the non‐daily smokers. After controlling for substance abuse treatment histories, gender and age, the daily smokers demonstrated more severe gambling, family/social and psychiatric problems. Compared to non‐daily smokers, the daily smokers gambled on more days and spent more money gambling; they also ‘craved’ gambling more and had lower perceived control over their gambling. The daily smokers were more likely to be taking psychiatric medications, and they experienced psychiatric symptoms, especially anxiety symptoms, on a greater number of days than non‐daily smokers. Implications Results from this study suggest that about two‐thirds of treatment‐seeking gamblers are current daily cigarette smokers, and smoking status is associated with more severe gambling and psychiatric symptoms. These results warrant further investigation of smoking in gamblers and whether smoking adversely affects the course of treatment or outcomes among gamblers.     

The Relationship between Antidepressant Use and Smoking Cessation in Pregnant Women in Treatment for Substance Abuse

Background: Bupropion's efficacy for smoking cessation in pregnant women is unknown. Objectives: To determine if substance-dependent women prescribed bupropion smoked fewer cigarettes/day than those prescribed citalopram/escitalopram or no antidepressant medication. Methods: Comparison of smoking in bupropion (n = 11), citalopram/escitalopram (n = 17), and no antidepressant (n = 28) groups. Results and Conclusions: Trend for greater decrease in smoking for the bupropion vs. citalopram/escitalopram group [?6.4 vs. ?.4 cigarettes/day (p = .276)], although the bupropion decrease was similar to that seen in the no antidepressant group [?5.3 cigarettes/day]. Scientific Significance: Data support continued study of bupropion in depressed pregnant substance-dependent smokers.     

Smoking Cessation Treatment among Patients in Community-Based Substance Abuse Rehabilitation Programs: Exploring Predictors of Outcome as Clues Toward Treatment Improvement

Background: Predictors of smoking cessation (SC) treatment outcome were explored in a multisite clinical trial of SC treatment at community-based, outpatient, substance abuse rehabilitation programs affiliated with the National Drug Abuse Treatment Clinical Trials Network. Objectives: To explore baseline demographic and clinical predictors of abstinence during treatment. Methods: Cigarette smokers from five methadone maintenance programs and two drug and alcohol dependence treatment programs were randomly assigned to SC treatment as an adjunct to substance abuse treatment as usual or to substance abuse treatment as usual. SC treatment consisted of group counseling (weeks 1–8) plus transdermal nicotine patch treatment (21 mg/day, weeks 1–6; 14 mg/day, weeks 7–8). Demographic and clinical predictors of smoking abstinence were evaluated among those patients assigned to the active SC condition (N = 153) using logistic regression. Results: Abstinence during treatment was positively associated with younger age, Hispanic or Caucasian (as opposed to African American) ethnicity/race, employment or student status, fewer cigarettes per day at baseline, lower severity of the primary substance problem at baseline, and higher methadone doses (among the subsample in methadone treatment). Conclusions and Scientific Significance: During future efforts to improve SC treatments among drug- and alcohol-dependent patients, consideration should be given to adequate treatment to reduce the severity of the primary drug or alcohol problem, tailoring treatments for patients with greater severity of smoking and of the primary substance problem, and culturally sensitive interventions. Analysis of predictors of outcome may be a useful tool for treatment development.     

A review of implicit and explicit substance self-concept as a predictor of alcohol and tobacco use and misuse

Background: This paper provides an overview of the self-concept as it relates to substance use. Self-concept has a long history in psychological theory and research; however, substance self-concept (e.g., viewing one’s self as a drinker or smoker) is an understudied area of research with the potential to expand existing conceptualizations of substance use, addiction, and prevention and treatment efforts, and should receive greater research attention. Objectives: First, we review and provide a theoretical framework of substance self-concept that draws from dual process models and distinguishes between implicit and explicit self-concept. Next, we summarize key findings related to substance use in the extant literature, focusing on alcohol and tobacco (smoking). Results: Across both substances, there is converging evidence that substance self-concept is associated with substance use outcomes, including quantity and frequency of use and problems associated with use, and that change in substance self-concept is associated with recovery from substance misuse. Recommendations for the substance self-concept research agenda include routine assessment of substance self-concept, expanded use of implicit measures, investigation of moderators of substance self-concept, and targeting substance self-concept directly in prevention and intervention efforts. Conclusion: Ultimately, we suggest that substance self-concept is a promising, but understudied, construct. Greater research attention to substance self-concept could clarify its potential as an important risk factor for hazardous use and addiction as well as its utility as a prevention and treatment target.     

Computer‐delivered interventions for alcohol and tobacco use: a meta‐analysis

Aims To quantify the overall effectiveness of computer‐delivered interventions for alcohol and tobacco use. Methods Meta‐analysis of 42 effect sizes from randomized controlled trials, based on the responses of 10 632 individuals. Results The weighted average effect size (d) was 0.20, P < 0.001. While lower effect sizes were associated with studies addressing tobacco use (d = 0.14) this may well reflect differences in the types of outcome measure used. Effect sizes did not vary significantly as a function of treatment location, inclusion of entertaining elements, provision of normative feedback, availability of a discussion feature, number of treatment sessions, emphasis on relapse prevention, level of therapist involvement or follow‐up period. Conclusion Findings of the meta‐analysis suggest that minimal contact computer‐delivered treatments that can be accessed via the internet may represent a cost‐effective means of treating uncomplicated substance use and related problems.     

Early-onset depressive disorders predict the use of addictive substances in adolescence: a prospective study of adolescent Finnish twins

Aims To explore the developmental relationships between early‐onset depressive disorders and later use of addictive substances. Design, setting and participants A sample of 1545 adolescent twins was drawn from a prospective, longitudinal study of Finnish adolescent twins with baseline assessments at age 14 years and follow‐up at age 17.5 years. Measurements At baseline, DSM‐IV diagnoses were assessed with a professionally administered adolescent version of Semi‐Structured Assessment for Genetics of Alcoholism (C‐SSAGA‐A). At follow‐up, substance use outcomes were assessed via self‐reported questionnaire. Findings Early‐onset depressive disorders predicted daily smoking [odds ratio (OR) 2.29, 95% confidence interval (CI) 1.49–3.50, P < 0.001], smokeless tobacco use (OR = 2.00, 95% CI 1.32–3.04, P = 0.001), frequent illicit drug use (OR = 4.71, 95% CI 1.95–11.37, P = 0.001), frequent alcohol use (OR = 2.02, 95% CI 1.04–3.92, P = 0.037) and recurrent intoxication (OR = 1.83, 95% CI 1.18–2.85, P = 0.007) 3 years later. ORs remained significant after adjustment for comorbidity and exclusion of baseline users. In within‐family analysis of depression‐discordant co‐twins (analyses that control for shared genetic and familial background factors), early‐onset depressive disorders at age 14 predicted significantly frequent use of smokeless tobacco and alcohol at age 17.5. Conclusions Our results suggest important predictive associations between early‐onset depressive disorders and addictive substance use, and these associations appear to be independent of shared familial influences.     

Implementation of smoking cessation treatment in substance use disorder treatment settings: a review

ABSTRACT

Background: The high prevalence of smoking among individuals receiving treatment for substance use disorder (SUD) has led to repeated calls for integrating smoking cessation treatment into these settings. Objectives: This review summarizes key findings from the research on the implementation of smoking cessation in SUD treatment. Methods: PubMed searches of articles published from 2000 to 2015 yielded 48 empirical studies that focused on the delivery of smoking cessation in the US specialty SUD treatment settings in which organizations and counselors were the unit of analysis. Most studies used observational designs to gather data from organizations and counselors. Organizational studies show that few SUD treatment programs offer cessation counseling or pharmacotherapy. Organizational barriers include limited training, inadequate resources, and cultural norms that do not recognize smoking cessation as part of the organization’s mission. Smoking cessation services are more likely to be available in medically oriented treatment settings, larger treatment programs, those offering a broader array of comprehensive services, and those that are more reliant on fee-for-service reimbursement (e.g., insurance, Medicaid). Surveys of counselors also show very low implementation. Counselors’ personal skills and attitudes, their perceptions of managerial and coworker support for smoking cessation, and the availability of resources and reimbursement to support these services are correlated with implementation. State policies requiring treatment programs to offer tobacco treatment increase both adoption and implementation, yet these services continue to reach only modest percentages of the patients. Conclusions: Few studies have tested specific implementation strategies. Such research is needed to determine how to accelerate the diffusion of these evidence-based practices to the SUD treatment field.     

A comparison of the psychometric properties of three cigarette withdrawal scales

AIMS: To compare the psychometric properties of three cigarette withdrawal scales. DESIGN: An internet cohort study. PARTICIPANTS: Each of 4,644 current (44%), former (49%) and never smokers (7%) completed the three scales via the internet. A subsample completed the scales again after 14 days (n=1309), and indicated their smoking status after 42 days (n=1431). MEASUREMENTS: The Cigarette Withdrawal Scale (CWS), the Wisconsin Withdrawal Scale (WWS) and the Minnesota Withdrawal Form (MWF). FINDINGS: All three scales covered the main elements in the Diagnostic and Statistical Manual version IV (DSM-IV) and the International Classification of Diseases version 10 (ICD-10) definitions of tobacco withdrawal, but WWS did not cover weight gain. Factor analyses indicated that only six factors were present in WWS, instead of the expected seven factors. Cronbach's alpha coefficients (0.76-0.93) were high for all scales. Test-retest coefficients were in the range of 0.66-0.86 for CWS and WWS, but were somewhat lower for some MWF items (range 0.52-0.80). In 324 ex-smokers who had quit smoking 31 days or less before baseline, craving predicted relapse at 14-day follow-up (CWS: odds ratio=1.53 per point, P=0.003; WWS: odds ratio=1.40, P=0.04; MWF: odds ratio=1.49, P=0.002). In 34 baseline smokers who had quit smoking by 14-day retest, an increase in craving (WWS and MWF), depressed mood (MWF) and difficulty concentrating (WWS) between baseline and retest predicted relapse at 42-day follow-up. In terms of construct validity, scales performed similarly, but performance on some key tests (e.g. withdrawal will increase post-cessation) were inadequate, due perhaps to methodological limitations. CONCLUSIONS: No scale showed a decisive advantage over the others. MWF has the advantage of brevity.