Cigarette Smoking Cessation Intervention for Buprenorphine Treatment Patients

A qualitative study on people with opioid use disorders' perspectives on smoking and smoking cessation interventions

Introduction

Smoking-related diseases are major contributors to disability and shorter life expectancy among opioid-dependent patients. Smoking prevalence is considerably higher for opioid-dependent persons than among the general population, and only a minority quit smoking in treatment settings. Studies show that pharmacological smoking cessation interventions have modest success rates. This study aimed to investigate patients' receiving opioid agonist therapy perspectives on factors affecting behavior and decisions related to smoking cessation, and their experiences with smoking cessation.

Methods

This is a qualitative study using semi-structured individual interviews. The participants were asked, among others, to elaborate on the participants' thoughts about smoking, previous attempts to quit tobacco use, and what could prompt a smoking cessation attempt. We analyzed the transcripts with systematic text condensation. The Standards for Reporting Qualitative Research and the Consolidated Criteria for Reporting Qualitative Research guidelines were followed. Opioid-dependent patients receiving opioid agonist therapy in outpatient clinics were invited to participate using a purposive sampling method. In total, fourteen individuals participated in this study.

Results

We identified six themes which were: (1) reflections on how smoking affected decisions, (2) smoking and its impact on physical and mental health, (3) the economy as a motivator to stop smoking, (4) emotions, desires, and habits related to smoking, (5) knowledge of smoking, smoking cessation, and quit attempts, and (6) social factors influencing the participants' choices and activities. The participants were well informed about the consequences of smoking and had some knowledge and experience in quitting. The participants' pulmonary health was an important motivational factor for change. Withdrawal symptoms, anxiety, and fear of using other substances discouraged several from attempting to quit smoking. In contrast, social support from partners and access to meaningful activities were considered important factors for success. Few reported being offered help from health professionals to make a smoking cessation attempt.

Discussion

Experiencing social support, being encouraged to quit smoking, and patients' concerns for their physical health were important reasons for wanting to quit smoking. Smoking cessation interventions based on patient preferences and on the behavior change wheel may enable a higher success rate among patients receiving opioid agonist therapy.

How do patients and staff in an opioid agonist treatment service view smoking cessation medications and e-cigarettes?

INTRODUCTION

Tobacco use and related mortality is common in people receiving opioid agonist treatment (OAT). Smoking cessation medications are available and e-cigarettes are increasingly recommended for high risk populations. This study explores experience, knowledge and attitudes around smoking cessation medications (nicotine replacement therapy [NRT], bupropion and varenicline) and e-cigarettes in patients and clinicians in two public Australian OAT clinics.

METHODS

Cross-sectional surveys of patients and clinicians and a randomly sampled retrospective medical record review. Patients were recruited through an advertisement in the clinic, and clinicians through advertisement at an educational session.

RESULTS

Ninety-one patients and 10 clinicians completed the surveys. Most patients had at least one quit attempt and 43% were currently trying to quit. There were high levels of exposure to NRT, lower levels with varenicline and very limited exposure to bupropion. Patients considered e-cigarettes most helpful, but were more likely to consider using NRT. Few patients reported smoking cessation interventions from their clinicians. Most clinicians identified high tobacco use prevalence, considered this problematic, but reported low rates of smoking cessation intervention. NRT was the preferred medication. E-cigarettes were not considered helpful. Sixty-six percent of the 140 records reviewed documented patients as smokers. Tobacco cessation medication was rarely discussed or provided.

DISCUSSION AND CONCLUSIONS

Patients report high rates of tobacco cessation planning, but low rates of intervention. Experience of varenicline and bupropion is limited. E-cigarettes were preferred over varenicline and bupropion. Improving patient's and clinician's knowledge of tobacco cessation medications could improve smoking cessation interventions and uptake of approved medications.

Integration of smoking cessation into standard treatment for patients receiving opioid agonist therapy who are smoking tobacco: protocol for a randomised controlled trial (ATLAS4LAR)

BACKGROUND

About 85% of patients receiving opioid agonist therapy (OAT) for opioid dependence are smoking tobacco. Although smoke-related pulmonary diseases are significant contributors to morbidity and mortality, few smoking cessation interventions are evaluated within this group, and few OAT patients are offered smoking cessation as an integrated part of their addiction treatment. This study protocol describes an integrated smoking cessation intervention aimed at patients receiving OAT and smoking tobacco.

METHODS

This is a multicentre, randomised controlled clinical trial that will recruit 266 daily tobacco smoking patients receiving OAT in OAT outpatient clinics in Bergen and Stavanger, Norway. The patients randomised for the intervention arm will be offered smoking cessation therapy consisting of weekly brief behavioural interventions and prescription-free nicotine replacement products. In the control arm, patients will receive standard care without any added interventions related to smoking cessation. The smoking cessation intervention includes psychoeducational techniques with components from motivational interviewing, and nicotine replacement products such as nicotine lozenges, patches, and chewing gum. The duration of the intervention is 16 weeks, with the option of extending it by a further 8 weeks. The main outcomes are measured at 16 weeks after initiation of the intervention, and sustained effects are evaluated 1 year after intervention initiation. The primary outcome is smoking cessation verified by carbon monoxide (CO) levels or at least a 50% reduction in the number of cigarettes smoked. Secondary outcomes are changes in psychological well-being, biochemical inflammation markers, changes in physical health, quality of life, and fatigue.

DISCUSSION

Integration of other treatments to standard OAT care improves adherence and completion rates providing another rationale for integrated smoking cessation treatment. Thus, if integrated smoking cessation treatment is superior to standard care, this trial provides important information on further scale-up.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05290025. Registered on 22 March 2022.

A targeted approach to using e-cigarettes for harm reduction in adults

Smoking remains the leading preventable cause of death and disease in the US. While e-cigarettes (EC) are undeniably harmful when used by adolescents and nonsmokers, the perpetuation of the increasing negative perceptions of EC and widespread false belief that EC are equal or more harmful than combustible cigarettes (CC) represents a significant missed public health opportunity. EC have great potential to serve as a mechanism for smoking harm reduction among hard-to-treat populations of smokers who have failed to quit with currently available treatments. In this paper, we outline why we need to overcome the hostile EC research environment to explore the potential use of EC as a harm-reduction strategy in hard-to-treat populations.

Nicotine and opioid co-dependence: Findings from bench research to clinical trials

Concomitant use of tobacco and opioids represents a growing public health concern. In fact, the mortality rate due to smoking-related illness approaches 50% among SUD patients. Cumulative evidence demonstrates that the vulnerability to drugs of abuse is influenced by behavioral, environmental, and genetic factors. This review explores the contribution of genetics and neural mechanisms influencing nicotine and opioid reward, respiration, and antinociception, emphasizing the interaction of cholinergic and opioid receptor systems. Despite the substantial evidence demonstrating nicotine-opioid interactions within the brain and on behavior, the currently available pharmacotherapies targeting these systems have shown limited efficacy for smoking cessation on opioid-maintained smokers. Thus, further studies designed to identify novel targets modulating both nicotinic and opioid receptor systems may lead to more efficacious approaches for co-morbid nicotine dependence and opioid use disorder.

Reductions in tobacco use in naltrexone, relative to buprenorphine-maintained individuals with opioid use disorder: Secondary analysis from the National Drug Abuse Treatment Clinical Trials Network

BACKGROUND

Smoking prevalence in individuals with opioid use disorder (OUD) is over 80%. Research suggests that opioid use significantly increases smoking, which could account for the strikingly low smoking-cessation rates observed in both methadone- and buprenorphine-maintained patients, even with the use of first-line smoking-cessation interventions. If opioids present a barrier to smoking-cessation, then better smoking outcomes should be observed in OUD patients treated with extended-release naltrexone (XR-NTX, an opioid antagonist) compared to those receiving buprenorphine (BUP-NX, a partial opioid agonist).

METHODS

The current study is a secondary analysis of a 24-week, multi-site, open-label, randomized clinical trial conducted within the National Drug Abuse Treatment Clinical Trials Network comparing the effectiveness of XR-NTX vs. BUP-NX for adults with OUD. Longitudinal mixed effects models were used to determine if there was a significant reduction in cigarette use among daily smokers successfully inducted to treatment (n = 373) and a subset of those who completed treatment (n = 169).

RESULTS

Among daily smokers inducted onto OUD medication, those in the XR-NTX group smoked fewer cigarettes per day (M = 11.36, SE = 0.62) relative to smokers in the BUP-NX group (M = 13.33, SE = 0.58) across all study visits, (b (SE) = -1.97 (0.55), p < .01). Results were similar for the treatment completers.

CONCLUSIONS

OUD patients treated with XR-NTX reduced cigarette use more than those treated with BUP-NX, suggesting that XR-NTX in combination with other smoking cessation interventions might be a better choice for OUD smokers interested in reducing their tobacco use.

Effect of varenicline directly observed therapy versus varenicline self-administered therapy on varenicline adherence and smoking cessation in methadone-maintained smokers: a randomized controlled trial

BACKGROUND AND AIMS

Level of adherence to tobacco cessation medication regimens is believed to be causally related to medication effectiveness. This study aimed to evaluate the efficacy of varenicline directly observed therapy (DOT) on varenicline adherence and smoking cessation rates among smokers with opioid use disorder (OUD) receiving methadone treatment.

DESIGN

Multicenter, parallel-group two-arm randomized controlled trial.

SETTING

Urban opioid treatment program (OTP) in the Bronx, New York, USA.

PARTICIPANTS

Daily smokers of ≥ 5 cigarettes/day, interested in quitting (ladder of change score 6-8), in methadone treatment for ≥ 3 months, attending OTP ≥ 3 days/week. Participants' mean age was 49 years, 56% were male, 44% Latino, 30% Black, and they smoked a median of 10 cigarettes/day.

INTERVENTIONS

Individual, block, random assignment to 12 weeks of varenicline, either directly observed with methadone (DOT, n = 50) or via unsupervised self-administered treatment (SAT, n = 50).

MEASUREMENTS

The primary outcome was adherence measured by pill count. The secondary outcome was 7-day point prevalence tobacco abstinence verified by expired carbon monoxide (CO) < 8 parts per million.

FINDINGS

Retention at 24 weeks was 92%. Mean adherence was 78.5% [95% confidence interval (CI) = 71.8-85.2%] in the DOT group versus 61.8% in the SAT group (95% CI = 55.0-68.6%); differences were driven by DOT effects in the first 6 weeks. CO-verified abstinence did not differ between groups during the intervention (P = 0.26), but was higher in the DOT than the SAT group at intervention end (DOT = 18% versus SAT = 10%, difference = 8%, 95% CI = -13, 28); this difference was not significant (P = 0.39) and was not sustained at 24-week follow-up.

CONCLUSIONS

Among daily smokers attending opioid treatment programs, opioid treatment program-based varenicline directly observed therapy was associated with early increases in varenicline adherence compared with self-administered treatment, but findings were inconclusive as to whether directly observed therapy was associated with a difference in tobacco abstinence.

Achieving Smoking Cessation Among Persons with Opioid Use Disorder

While prevalence of tobacco use in the US general population is declining, prevalence among those with opioid use disorder (OUD) remains high and results in excessive tobacco-related disease and premature mortality. Among smokers with OUD, tobacco cessation rates are negligible without treatment. However, both low-intensity behavioral interventions and more intensive motivational interventions yield negligible cessation rates. While contingency management has potent short-term cessation effects, effects are not maintained at post-intervention follow-up. Evidence-based smoking cessation pharmacotherapies, such as nicotine replacement therapy, bupropion, and varenicline, result in very modest cessation rates among smokers with OUD. Intensification of pharmacotherapy, such as high-dose and combination nicotine replacement therapy or extended medication treatment, has failed to improve cessation outcomes compared with standard treatment regimens. Targeting the unique challenges faced by smokers with OUD, including nicotine-opioid interactions and poor medication adherence, has potential to improve cessation outcomes, but further research is needed to optimize intervention efficacy among smokers with OUD.

Smoking status and quit behaviors among health center patients with substance use disorders: A national study

BACKGROUND

Despite a high prevalence of smoking among individuals with substance use disorders, tobacco dependence in this vulnerable population is undertreated.

METHODS

We analyzed data from 5592 adult (≥18 years old) respondents to the 2014 Health Center Patient Survey, a nationally representative cross-sectional survey of individuals who receive care at U.S. Federally Qualified Health Centers. We evaluated self-reported smoking status, smoking-related quit behaviors (having quit, wanting or attempting to quit in the past year, and planning to quit in the next 6 months), and receipt of advice to quit smoking among participants with and without alcohol use disorder (AUD) and drug use disorder (DUD).

RESULTS

Current smoking was common among individuals with AUD (64.3%) and DUD (55.0%). Few patients with AUD or DUD had quit smoking (16.7% and 24.0%, respectively). Smokers with AUD had higher odds of wanting to quit smoking in the past year (adjusted odds ratio = 2.88; 95% confidence interval = 1.19, 7.05), but were not more likely to have made a past-year quit attempt. DUD was not significantly associated with smoking-related quit behaviors. Smokers with AUD or DUD, as well as those who engaged in treatment for AUD or DUD, did not differ significantly from other smokers in receipt of advice to quit smoking.

CONCLUSIONS

Smokers with AUD and DUD were unlikely to have quit smoking despite interest in quitting. Our findings suggest a need for individualized tobacco treatment approaches in patients with AUD and DUD and missed opportunities to provide tobacco cessation counseling during addiction treatment.

Prevalence and patterns of opioid misuse and opioid use disorder among primary care patients who use tobacco

BACKGROUND

Current data suggest that opioid misuse or opioid use disorder (OUD) may be over represented among tobacco users. However, this association remains understudied in primary care settings. A better understanding of the extent of heterogeneity in opioid misuse among primary care patients who use tobacco may have implications for improved primary care-based screening, prevention, and intervention approaches.

METHODS

Data were derived from a sample of 2000 adult (aged ≥18) primary care patients across 5 distinct clinics. Among past-year tobacco users (n = 882), we assessed the prevalence of opioid misuse and OUD by sociodemographic characteristics and past-year polysubstance use. Latent class analysis (LCA) was used to identify heterogeneous subgroups of tobacco users according to past-year polysubstance use patterns. Multinomial logistic regression was used to examine variables associated with LCA-defined class membership.

RESULTS

Past-year tobacco use was reported by >84% of participants who reported past-year opioid misuse or OUD. Among those reporting past-year tobacco use, the prevalence of past-year opioid misuse and OUD was 14.0% and 9.5%, respectively. The prevalence of opioid misuse or OUD was highest among tobacco users who were male or unemployed. Three LCA-defined classes among tobacco users were identified including a tobacco-minimal drug use group (78.0%), a tobacco-cannabis use group (10.1%), and a tobacco-opioid/polydrug use group (11.9%). Class membership differed by sociodemographic characteristics.

CONCLUSIONS

Results from this study support the benefit of more comprehensive assessment of and/or monitoring for opioid misuse among primary care patients who use tobacco, particularly for those who are male, unemployed, or polydrug users.

Nicotine biomarkers and rate of nicotine metabolism among cigarette smokers taking buprenorphine for opioid dependency

BACKGROUND

Individual differences in the rate of nicotine metabolism contribute to differences in tobacco use, dependence, and efficacy of smoking cessation treatments and can be assessed using the nicotine metabolite ratio (NMR), a validated biomarker for CYP2A6 activity. Despite the high cigarette smoking rates observed in opioid users, no data have been reported on NMR among this population as they has been largely excluded from previous studies that have examined the relationship between tobacco use characteristics and rate of nicotine metabolism.

METHODS

A linear regression model was used to examine the relationship between tobacco use characteristics and NMR among smokers taking buprenorphine for opioid dependency (N=141). The relationship between buprenorphine dose and NMR was also examined. All participants were enrolled in an intervention designed to promote cigarette-smoking cessation, though participants did not need to stop smoking to enroll.

RESULTS AND CONCLUSIONS

Rate of nicotine metabolism assessed using the NMR was positively associated with cigarettes smoked in the past 24h, but was not related to time to first cigarette or past year quit attempts. Dose of buprenorphine was not associated with NMR, suggesting no association with rate of nicotine metabolism. Our results suggest that NMR is related to tobacco use among persons enrolled in opioid treatment, as reported in general population smokers and may be a useful biomarker to include in future research assessing efficacy of tobacco cessation interventions in this population.