Nicotine and drug interaction expectancies among methadone maintained cigarette smokers

An Open Trial of Electronic Cigarettes for Smoking Cessation Among Methadone-Maintained Smokers

INTRODUCTION

Smoking cessation pharmacotherapies tested in persons with opioid use disorder have produced low quit rates. Electronic cigarettes (e-cigarettes) have been used by many methadone-maintained (MMT) smokers, but controlled trials evaluating cessation and reduction outcomes have not been performed in this population with deleterious tobacco-related health consequences.

METHODS

In this open trial of NJOY e-cigarettes, MMT smokers received 6 weeks of treatment and were instructed to use only e-cigarettes. Outcomes included carbon monoxide confirmed 7-day point smoking cessation prevalence at week 7 (end of treatment) and self-reported change in mean cigarettes per day (CPD) at each 2-week assessment. The final assessment was 2 weeks after treatment ended (week 9).

RESULTS

The 12 participants averaged 46 years old and 50% were male. On average, participants reported smoking 17.8 (±5.3) CPD. One person had a biochemically confirmed quit at week 7. Participants tended to report marked reductions in mean CPD between quit day (week 1) and the week 3 assessment. Relative to baseline, statistically significant reductions in mean CPD were observed at all follow-up assessments. Mean reductions in CPD were -12.4 (95% confidence interval [CI]: -15.0, -9.9; P < .001), -14.8 (95% CI: -17.4, -12.2; P < .001), -13.9 (95% CI: -16.6, -11.2), and -10.8 (95% CI: -13.4, -8.2; P < .01) at the 3-, 5-, 7-, and 9-week assessments, respectively. Adherence to e-cigarettes was 89.1% during the 6 treatment weeks.

CONCLUSIONS

E-cigarettes were associated with reductions in cigarette use. Smoking cessation rates in MMT smokers are low and whether long-term smoking reductions can persist and produce health benefits should be studied.

IMPLICATIONS

E-cigarettes were associated with reduced tobacco use in MMT smokers. Adherence to e-cigarettes is high among methadone smokers. Week-7 smoking quit rates are similar to pharmacotherapies tested in this population.

Determining Smoking Cessation Related Information, Motivation, and Behavioral Skills among Opiate Dependent Smokers in Methadone Treatment

BACKGROUND

Over 80% of people in methadone treatment smoke cigarettes, and existing smoking cessation interventions have been minimally effective.

OBJECTIVE

To develop an Information-Motivation-Behavioral Skills (IMB) Model of behavior change based smoking cessation intervention for methadone maintained smokers, we examined smoking cessation related IMB factors in this population.

METHODS

Current or former smokers in methadone treatment (n = 35) participated in focus groups. Ten methadone clinic counselors participated in an individual interview. A content analysis was conducted using deductive and inductive approaches.

RESULTS

Commonly known IMB factors related to smoking cessation were described. These factors included: the health effects of smoking and treatment options for quitting (information); pregnancy and cost of cigarettes (motivators); and coping with emotions, finding social support, and pharmacotherapy adherence (behavioral skills). IMB factors specific to methadone maintained smokers were also described. These factors included: the relationship between quitting smoking and drug relapse (information), the belief that smoking is the same as using drugs (motivator); and coping with methadone clinic culture and applying skills used to quit drugs to quitting smoking (behavioral skills). IMB strengths and deficits varied by individual.

CONCLUSIONS

Methadone maintained smokers could benefit from research on an IMB Model based smoking cessation intervention that is individualized, addresses IMB factors common among all smokers, and also addresses IMB factors unique to this population.

Predictors of active injection drug use in a cohort of patients infected with hepatitis C virus

OBJECTIVES

We investigated potential risk factors for active injection drug use (IDU) in an inner-city cohort of patients infected with hepatitis C virus (HCV).

METHODS

We used log-binomial regression to identify factors independently associated with active IDU during the first 3 years of follow-up for the 289 participants who reported ever having injected drugs at baseline.

RESULTS

Overall, 142 (49.1%) of the 289 participants reported active IDU at some point during the follow-up period. In a multivariate model, being unemployed (prevalence ratio [PR] = 1.93; 95% confidence interval [CI] = 1.24, 3.03) and hazardous alcohol drinking (PR = 1.67; 95% CI = 1.34, 2.08) were associated with active IDU. Smoking was associated with IDU but this association was not statistically significant. Patients with all 3 of those factors were 3 times as likely to report IDU during follow-up as those with 0 or 1 factor (PR = 3.3; 95% CI = 2.2, 4.9). Neither HIV coinfection nor history of psychiatric disease was independently associated with active IDU.

CONCLUSIONS

Optimal treatment of persons with HCV infection will require attention to unemployment, alcohol use, and smoking in conjunction with IDU treatment and prevention.

Marijuana use and tobacco smoking cessation among heavy alcohol drinkers

BACKGROUND

Whereas problem drinking impedes smoking cessation, less is known whether marijuana use affects smoking cessation outcomes and whether smoking cessation treatment leads to changes in marijuana smoking.

METHODS

In a randomized clinical trial that recruited 236 heavy drinkers seeking smoking cessation treatment, we examined whether current marijuana smokers (n=57) differed from the rest of the sample in tobacco smoking and alcohol use outcomes and whether the patterns of marijuana use changed during treatment.

RESULTS

Half of the marijuana users reported smoking marijuana at least weekly (an average of 42% of possible smoking days), the other half used infrequently, an average of 5% of possible days. There were no significant differences between the marijuana use groups and non-users on smoking outcomes and marijuana use did not predict smoking lapses. All participants made large reductions in weekly alcohol consumption during the trial, with weekly marijuana users reducing their drinking by 47% and at a faster rate than non-marijuana users after the 8-week follow-up. Weekly marijuana smokers also steadily decreased their marijuana use over the course of the study (at 8-, 16-, and 26-week follow-ups) by more than 24%.

CONCLUSIONS

These data suggest that frequent marijuana smokers may benefit from smoking cessation interventions, even when marijuana use is not explicitly discussed. These individuals do not show any more difficulty than other cigarette smokers in making efforts to reduce tobacco smoking and in fact, make meaningful changes in marijuana use and heavy drinking. Future clinical trials should examine whether smoking cessation treatment that addresses both marijuana and tobacco smoking leads to substantial reductions in marijuana use.

Temporal changes of smoking status and motivation among Chinese heroin-dependent, methadone-maintained smokers

INTRODUCTION

The rates of cigarette smoking remain extremely high in active heroin users and methadone-maintained patients. It remains undetermined whether smoking status and motivation would be differentially affected by heroin and methadone administration.

METHODS

Heroin-dependent, methadone-maintained patients were recruited in the present studies. A battery of self-report questionnaires was used in the current study, in order to assess smoking status and motivations before first heroin use, during active heroin use and after Methadone Maintenance Treatment (MMT) admission.

RESULTS

An extremely high portion of participants started smoking before first heroin use. The highest level of cigarette smoking was found during the period of active heroin use, and cigarette consumption was reported to decrease after MMT admission. A wide range of smoking motivations were found before first heroin use. Moreover, "maintaining heroin pleasure" was the primary motivation for the increase in cigarette consumption during the period of active heroin use and 1h after heroin administration, while "habitual smoking" was the primary smoking motivation before first heroin use and after MMT admission respectively.

CONCLUSIONS

The present study first demonstrated that the prolonged rewarding effect of heroin following cigarette smoking may account for the increase of nicotine consumption found in the heroin-dependent patients. It appears that heroin and methadone differentially influenced smoking status and motivation among heroin-dependent, methadone-maintained patients.

Predictors of buprenorphine-naloxone dosing in a 12-week treatment trial for opioid-dependent youth: secondary analyses from a NIDA Clinical Trials Network study

INTRODUCTION

The present investigation examines baseline patient characteristics to predict dosing of buprenorphine-naloxone, a promising treatment for opioid addiction in youths.

METHODS

This study of 69 opioid-dependent youths is a secondary analysis of data collected during a National Institute on Drug Abuse (NIDA) Clinical Trials Network study. Outpatients aged 15-21 were randomized to a 12-week buprenorphine-naloxone dosing condition (including 4 weeks of taper). Predictors of dosing included sociodemographic characteristics (gender, race, age, and education), substance use (alcohol, cannabis, cocaine, and nicotine use), and clinical characteristics (pain and withdrawal severity).

RESULTS

Most (75.4%) reported having either "some" (n=40, 58.0%) or "extreme" (n=12, 17.4%) pain on enrollment. Maximum daily dose of buprenorphine-naloxone (19.7 mg) received by patients reporting "extreme" pain at baseline was significantly higher than the dose received by patients reporting "some" pain (15.0mg) and those without pain (12.8 mg). In the adjusted analysis, only severity of pain and withdrawal significantly predicted dose. During the dosing period, there were no significant differences in opioid use, as measured by urinalysis, by level of pain.

CONCLUSION

These data suggest that the presence of pain predicts buprenorphine-naloxone dose levels in opioid-dependent youth, and that patients with pain have comparable opioid use outcomes to those without pain, but require higher buprenorphine-naloxone doses.

Treatment of smokers with co-occurring disorders: emphasis on integration in mental health and addiction treatment settings

This article reviews the research on the treatment of cigarette smoking in individuals who have comorbid mental illnesses or non-nicotinic addictions. The prevalence of smoking in mentally ill and substance-abusing populations is presented, as well as reasons for this high prevalence. The historical role of cigarettes and tobacco in mental illness and addiction is reviewed to help the reader better understand the pervasiveness of smoking in these disorders and the relative absence of intervention efforts in mental heath and addiction treatment settings. The article then discusses the several reasons for integrating smoking treatment into mental health and addiction settings. The outcome research for adult and adolescent comorbid smokers is reviewed, and barriers to treatment are discussed. The review closes with a brief discussion of models of integration and thoughts about prevention.

Methadone-nicotine interactions in methadone maintenance treatment patients

Smoking is highly prevalent (85%-98%) in methadone maintenance treatment (MMT) patients. Methadone has been shown to increase cigarette smoking in a dose-dependent manner, whereas smoking/nicotine has been shown to increase methadone self-administration and reinforcing properties. The objective of this study was to evaluate methadone-nicotine interactions in MMT patients during trough and peak methadone effect conditions. Subjective effects of nicotine (administered by cigarette smoking, 4 mg of nicotine gum and placebo gum) and methadone and their combination were assessed in 40 regularly smoking, stabilized MMT patients using a randomized, placebo-controlled, within-subject study design. Subjects responded to a battery of subjective assessments before and after nicotine administration both before methadone administration (cycles 1 and 2) and 3 hours after methadone administration (cycles 3 and 4). There was a main effect of methadone on the decrease of opioid withdrawal scores (P < 0.001), and cigarette smoking enhanced this effect (day x methadone interaction, P = 0.031). Both nicotine and methadone had main effects on the decrease of nicotine withdrawal scores (P < 0.001 and P = 0.001, respectively); this was associated with the cigarette day (day x nicotine interaction, P = 0.003, and day x methadone interaction, P = 0.004). Nicotine plasma levels were highest on the cigarette smoking day (P < 0.001). Methadone and nicotine shared main effects on the increase of ratings of euphoria and drug liking and on the decrease of restlessness, irritability, and depression. The overall results may help to explain high smoking rates in the MMT population and may account for reports of increased positive effects of methadone when the drugs are taken together.

Where there's smoke, there's fire: high prevalence of smoking among some sub-populations and recommendations for intervention

In Australia, the prevalence of smoking is higher among certain sub-populations compared to the general population. These sub-populations include Aboriginal and Torres Strait Islander people, people from culturally and linguistically diverse backgrounds, as well as people with mental and substance use disorders and prisoners. The aims of this paper are to: describe the high prevalence of smoking among these particular sub-populations and harms associated with smoking; explore possible reasons for such high prevalence of smoking; review the evidence regarding the efficacy of existing smoking cessation interventions; and make recommendations for smoking interventions and further research among these groups. In addition to low socio-economic status, limited education and other factors, there are social, systems and psychobiological features associated with the high prevalence of smoking in these sub-groups. General population-based approaches to reducing smoking prevalence have been pursued for decades with great success and should be continued with further developments that aim specifically to affect Aboriginal and Torres Strait Islander people and some cultural groups. However, increasing attention, more specific targeting and flexible goals and interventions are also required for these and other distinct sub-populations with high smoking prevalence. Recommendations include: more funding and increased resources to examine the most appropriate education and treatment strategies to promote smoking cessation among people from Aboriginal and Torres Strait Islander and some culturally and linguistically diverse backgrounds; larger and better-designed studies evaluating smoking cessation/reduction interventions among distinct sub-groups; and system-wide interventions requiring strong leadership among clients and staff within mental health, drug and alcohol and prison settings.

Addressing smoking in community drug abuse treatment programs: practical and policy considerations

Smoking is the leading cause of preventable death in the United States. This public health problem is of particular concern among individuals with substance use disorders in that they smoke at a greater rate than the general public. Smoking-related illness represents a major source of preventable death in persons with drug dependencies. Substance abuse treatment programs have access to persons with substance use disorders and the opportunity to intervene on their smoking; however, nicotine dependence has historically not been viewed in the same light as other drug dependencies by the treatment field. As a result, many persons in these treatment program settings do not receive opportunities to address their smoking. When substance abuse treatment organizations consider implementing smoking policies and services, many questions and choices arise. In practice, a range of approaches has been developed from simple assessment and referral for smoking cessation treatment to implementing smoke-free grounds and requiring that patients stop smoking concurrent with addressing their other drug dependencies. Smoking cessation policy decisions have the potential to directly affect the patients, the workforce, the referral network, and other major stakeholders related to these organizations. The authors consider a range of both practical and policy issues facing treatment organizations and conclude that advances in smoking policy are possible with current resources.

A smoking cessation intervention for the methadone-maintained

AIM

To test, in combination with the nicotine patch, the incremental efficacy of a maximal, tailored behavioral treatment over a minimal treatment for smoking cessation.

DESIGN

Randomized clinical trial with 6-month follow-up.

SETTING

Five methadone maintenance treatment centers in Rhode Island.

PARTICIPANTS

Three hundred and eighty-three methadone-maintained smokers.

INTERVENTION

Participants were assigned randomly to nicotine patch (8-12 weeks) plus either (1) a baseline tailored brief motivational intervention, a quit date behavioral skills counseling session and a relapse prevention follow-up session (Max) or (2) brief advice using the National Cancer Institute's 4 As model (Min). An intent-to-treat analysis with those lost to follow-up assumed to smoke was used.

MEASUREMENTS

Carbon monoxide (CO)-confirmed 7-day point smoking cessation prevalence at 3 and 6 months, and self-reported numbers of cigarettes smoked per day.

FINDINGS

Participants had a mean age of 40 years, were 53% male, 78% Caucasian, smoked 26.7 (+/- 12.2) cigarettes/day and had a mean methadone dose of 95.5 mg. At 3 months, 317 (83%) were re-interviewed; at 6 months, 312 (82%) were re-interviewed. The intent-to-treat, 7-day point prevalence estimate of cessation was 5.2% in the Max group and 4.7% in the Min group (P=0.81) at 6 months. In logistic models with treatment condition, age, gender, race, Fagerström Test for Nicotine Dependence and cigarettes per day as covariates, males were more likely to be abstinent at 3 months (OR 4.67; P=0.003) and 6 months (OR 4.01; P=0.015).

CONCLUSION

A tailored behavioral intervention did not increase quit rates over patch and minimal treatment. Smoking cessation rates in methadone-maintained smokers are low, with men having greater success.

Respiratory symptom relief related to reduction in cigarette use

INTRODUCTION

Many smokers reduce their cigarette consumption during failed attempts to quit. We report the impact of changes in consumption on smoking-related respiratory symptom severity (SRRSS).

METHODS

Between February 2002 and May 2004 we recruited 383 smokers from 5 methadone maintenance programs for a randomized trial of nicotine replacement plus behavioral treatment versus nicotine replacement alone for smoking cessation. Cigarette use in the 28 days prior to the interview, and severity of SRRSS using a 7-item respiratory index, were assessed at baseline and at 3-month follow-up.

OUTCOME

Baseline minus 3-month assessment difference in SRRSS score.

RESULTS

Follow-up of 319 participants (83.3%), mean age 40.4 years, 51.4% male, who smoked 26.4 cigarettes per day, demonstrated a mean reduction of 16.7 cigarettes per day. A reduction in cigarette use was positively and significantly (b=0.29, t=5.16, P<.001) associated with a reduction in smoking-related symptom severity after adjusting for age, gender, race, years of regular smoking, baseline nicotine dependence, and history of treatment for asthma or emphysema. A 1 standard deviation reduction in average daily smoking (about 14.1 cigarettes) was associated with a 0.28 standard deviation decrease in smoking-related symptom severity.

CONCLUSION

Reduction in symptom severity increases as absolute reduction in daily smoking increases. This is the first study to demonstrate an association between subjective short-term health changes and reduction in smoking.

A meta-analysis of smoking cessation interventions with individuals in substance abuse treatment or recovery

This meta-analysis examined outcomes of smoking cessation interventions evaluated in 19 randomized controlled trials with individuals in current addictions treatment or recovery. Smoking and substance use outcomes at posttreatment and long-term follow-up (> or = 6 months) were summarized with random effects models. Intervention effects for smoking cessation were significant at posttreatment and comparable for participants in addictions treatment and recovery; however, intervention effects for smoking cessation were nonsignificant at long-term follow-up. Smoking cessation interventions provided during addictions treatment were associated with a 25% increased likelihood of long-term abstinence from alcohol and illicit drugs. Short-term smoking cessation effects look promising, but innovative strategies are needed for long-term cessation. Contrary to previous concerns, smoking cessation interventions during addictions treatment appeared to enhance rather than compromise long-term sobriety.