Impact of quitting smoking and smoking cessation treatment on substance use outcomes: An updated and narrative review

Tobacco Quitline Callers Who Use Cannabis and Their Likelihood of Quitting Cigarette Smoking

INTRODUCTION

Cigarette smoking continues to decline in the U.S., but cannabis use is increasing. Many people who smoke cigarettes also use cannabis. This study examines the characteristics of persons who co-use and those who do not co-use and the likelihood of quitting cigarettes for callers to Kick It California, a large state tobacco quitline.

METHODS

Data were examined from Kick It California callers from January 2020 through December 2023 (N=45,151), including those from a subgroup randomly sampled and reached for evaluation at 7 months after quitline enrollment (n=3,545). The rate of cigarette smoking cessation at 7 months after enrollment for people who co-use cannabis was compared with that for people who do not. Analyses started in 2023 and concluded in January 2024.

RESULTS

More than a quarter (27.2%) of Kick It California callers co-used cannabis. They were more likely to be male, to be younger, and to have a mental health condition than those who did not. Those who co-use cannabis and those who do not have similar rates of receiving quitline counseling or using Food and Drug Administration-approved cessation aids. Controlled for effects of personal characteristics and use of smoking-cessation services, people who co-use cannabis were less likely to quit cigarette smoking 7 months after enrollment (23.2% vs 28.9%; p<0.001). Among those who co-use, 42.9% intended to quit using cannabis in the next 30 days.

CONCLUSIONS

A substantial percentage of tobacco quitline callers use cannabis. Those who do co-use quit cigarette smoking at a lower rate than those who do not. Over 40% of people who co-use reported intention to quit cannabis, making tobacco quitlines a rich environment to learn about people who co-use and develop strategies for intervention.

The effects of alcohol use on smoking cessation treatment with nicotine replacement therapy: An observational study

INTRODUCTION

Concurrent users of tobacco and alcohol are at greater risk of harm than use of either substance alone. It remains unclear how concurrent tobacco and alcohol use affects smoking cessation across levels of alcohol use and related problems. This study assessed the relationship between smoking cessation and levels of alcohol use problems.

METHODS

59,018 participants received nicotine replacement therapy through a smoking cessation program. Alcohol use and related symptoms were assessed using the Alcohol Use Disorders Identification Test (AUDIT-10) and the AUDIT-Concise (AUDIT-C). The primary outcome was 7-day point prevalence cigarette abstinence (PPA) at 6-month follow-up. We evaluated the association between alcohol use (and related problems) and smoking cessation using descriptive methods and mixed-effects logistic regression.

RESULTS

7-day PPA at 6-months was lower in groups meeting hazardous alcohol consumption criteria, with the lowest probability of smoking abstinence observed in the highest risk group. The probability of successful tobacco cessation fell with increasing levels of alcohol use and related problems. Adjusted predicted probabilities were 30.3 (95 % CI = 29.4, 31.1) for non-users, 30.2 (95 % CI = 29.4, 31.0) for low-risk users, 29.0 (95 % CI = 28.1, 29.9) for those scoring below 8 on the AUDIT-10, 27.3 (95 % CI = 26.0, 28.6) for those scoring 8-14, and 24.4 (95 % CI = 22.3, 26.5) for those scoring 15 or higher.

CONCLUSION

Heavy, hazardous alcohol use is associated with lower odds of successfully quitting smoking compared to low or non-use of alcohol. Targeting alcohol treatment to this group may improve tobacco cessation outcomes.

Heavy vs Light Smoking: Its Association with Opioid Use, Chronic Pain, and Mental Health

INTRODUCTION

There is much concern that substance use treatment programs are rarely integrated with smoking cessation programs. Here, the first national statistics are presented on the connection between heavy vs. light smoking and the opioid epidemic.

METHODS

Using the 2013-2021 Medical Expenditure Panel Survey linked to the National Health Interview Survey, N=81,400 adults-years, logit regressions estimate the impact of heavy vs. light smoking on opioid use, chronic pain, work limitations due to pain, and poor mental health. Analyses were conducted from October 2023 -May 2024.

RESULTS

Only 37 percent of the population has ever smoked, but they used 69% of the nation's annual prescription opioids. Adults who smoked more than five cigarettes a day composed 12% of the population but used about the same number of opioids as the 63% of the population who never smoked. Adults who formerly smoked used 16% fewer opioids than adults who currently smoke (p<.01). The percent with chronic pain during the year varied from 12.2% for adults who never smoked to 14.2% for light smoking, to 16.5% for those smoking more than a pack a day (p<.01). Severe work limitations due to pain varied from 7.3% for adults who never smoked to 16.9% for those smoking more than a pack a day (p<.01). Adults smoking more than a pack a day were twice as likely to report fair or poor mental health compared to those who never smoked (29.2% vs. 13.6%) (p<.01).

CONCLUSIONS

As nations deal with the opioid epidemic, integrating smoking cessation programs into substance abuse treatment programs appears prudent.

FUNDING

AHRQ.

Does smoking cessation reduce other substance use, psychiatric symptoms, and pain symptoms? Results from an emulated hypothetical randomized trial of US veterans

BACKGROUND

Quitting smoking may lead to improvement in substance use, psychiatric symptoms, and pain, especially among high-risk populations who are more likely to experience comorbid conditions. However, causal inferences regarding smoking cessation and its subsequent benefits have been limited.

METHODS

We emulated a hypothetical open-label randomized control trial of smoking cessation using longitudinal observational data of HIV-positive and HIV-negative US veterans from 2003-2015 in the Veterans Aging Cohort Study. We followed individuals from the first time they self-reported current cigarette smoking (baseline). We categorized participants as quitters or non-quitters at the first follow-up visit (approximately 1 year after baseline). Using inverse probability weighting to adjust for confounding and selection bias, we estimated odds ratios for improvement of co-occurring conditions (unhealthy alcohol use, cannabis use, illicit opioid use, cocaine use, depressive symptoms, anxiety symptoms, and pain symptoms) at second follow-up (approximately 2 years after baseline) for those who quit smoking compared to those who did not, among individuals who had the condition at baseline.

RESULTS

Of 4,165 eligible individuals (i.e., current smokers at baseline), 419 reported no current smoking and 2,330 reported current smoking at the first follow-up. Adjusted odds ratios (95% confidence intervals) for associations between quitting smoking and improvement of each condition at second follow-up were: 2.10 (1.01, 4.35) for unhealthy alcohol use, 1.75 (1.00, 3.06) for cannabis use, 1.10 (0.58, 2.08) for illicit opioid use, and 2.25 (1.20, 4.24) for cocaine use, 0.78 (0.44, 1.38) for depressive symptoms, 0.93 (0.58, 1.49) for anxiety symptoms, and 1.31 (0.84, 2.06) for pain symptoms.

CONCLUSIONS

While a causal interpretation of our findings may not be warranted, we found evidence for decreased substance use among veterans who quit cigarette smoking but none for the resolution of psychiatric conditions or pain symptoms. Findings suggest the need for additional resources combined with smoking cessation to reduce psychiatric and pain symptoms for high-risk populations.

Smoking Policies of Outpatient and Residential Substance Use Disorder Treatment Facilities in the United States

Tobacco use is associated with morbidity and mortality. Many individuals who present to treatment facilities with substance use disorders (SUDs) other than tobacco use disorder also smoke cigarettes or have a concomitant tobacco use disorder. Despite high rates of smoking among those with an SUD, and numerous demonstrated benefits of comprehensive SUD treatment for tobacco use in addition to co-occurring SUDs, not all facilities address the treatment of comorbid tobacco use disorder. In addition, facilities vary widely in terms of tobacco use policies on campus. This study examined SUD facility smoking policies in a national sample of N = 16,623 SUD treatment providers in the United States in 2021. Most facilities with outpatient treatment (52.1%) and facilities with residential treatment (67.8%) had a smoking policy that permitted smoking in designated outdoor area(s). A multinomial logistic regression model found that among facilities with outpatient treatment (n = 13,778), those located in a state with laws requiring tobacco free grounds at SUD facilities, those with tobacco screening/education/counseling services, and those with nicotine pharmacotherapy were less likely to have an unrestrictive tobacco smoking policy. Among facilities with residential treatment (n = 3449), those with tobacco screening/education/counseling services were less likely to have an unrestrictive tobacco smoking policy. There is variability in smoking policies and tobacco use treatment options in SUD treatment facilities across the United States. Since tobacco use is associated with negative biomedical outcomes, more should be done to ensure that SUD treatment also focuses on reducing the harms of tobacco use.

The effectiveness of a standardized tobacco cessation program on psychophysiological parameters in patients with addiction undergoing long-term rehabilitation: a quasi-experimental pilot study

BACKGROUND

Although there is a very high comorbidity between tobacco dependence and other addictive disorders, there are only few studies examining the implementation and outcomes of a tobacco cessation program in patients with addictive diseases. Therefore, the aim of this study is to investigate to what extent a standardized tobacco cessation program leads to improvements regarding psychological/physical parameters in patients with addiction undergoing therapy and whether there is a reduction in tobacco consumption.

METHODS

The study took place in a therapeutic community specialized in addiction therapy. A total sample of 56 participants were non-randomly assigned to an intervention group (IG; n = 31) and a treatment as usual group (TAUG; n = 25). The IG participated in a 6-week tobacco cessation program, while the TAUG received no additional treatment. Both groups were assessed for changes in primary outcomes (tobacco dependence, smoked cigarettes per day (CPD), and general substance-related craving) and secondary outcomes (heart rate variability (HRV): root mean square of successive differences, self-efficacy, and comorbid psychiatric symptoms) at two measurement time points (pre- and post-treatment/6 weeks).

RESULTS

We observed significant improvements in self-efficacy (F(1,53) = 5.86; p < .05; ηp2 = .11) and decreased CPD in the IG (β = 1.16, ρ < .05), while no significant changes were observed in the TAUG. No significant interaction effects were observed in psychiatric symptoms, general substance-related craving, and HRV.

CONCLUSIONS

The results highlight the potential benefit of an additional tobacco cessation program as part of a general addiction treatment. Although no improvements in the physiological domain were observed, there were significant improvements regarding self-efficacy and CPD in the IG compared to the TAUG. Randomized controlled trials on larger samples would be an important next step.

TRIAL REGISTRATION

ISRCTN15684371.

Individual Differences in Substance Use Motives, Trauma, and Stress Among College-Based Polysubstance Users

Background: Co-use of alcohol and other drugs within a certain time frame (i.e., polysubstance use) has become increasingly prevalent, particularly among college-aged individuals, but understanding motives for co-use remains limited. Polysubstance use has been associated with a higher likelihood of negative health consequences as compared to single substance use. Objectives: The current study examined associations between motivations for using alcohol, tobacco, and cannabis among college students who use multiple substances versus students using only one substance or no substances. Additionally, we examined the effect of trauma and daily stress on polysubstance use in self-report data from individuals (N=134) participating in the MAPme Study. Results: First, the observed prevalence of polysubstance use was greater than expected by chance, with most individuals co-using alcohol and cannabis. "Alcohol and Other Drug Users" were more frequently motivated to drink for social (β=0.27, CI=[0.07, 0.44]), enhancement (β=0.26, CI=[0.01, 0.42]) and coping (β=0.21, CI=[0.06, 0.47]) reasons compared to individuals who consumed alcohol alone. Conclusions: Individual differences in motivations for use were partly explained by frequency of alcohol use and alcohol problem severity, but not by history of trauma or stress. Finally, while patterns of correlations among motivations for use across substances suggested a general tendency to be motivated to use substances for similar reasons, this was not supported by confirmatory factor models. Overall, shared motives may inform potential behavioral patterns for co-use of substances during college and might advise future treatment efforts.

Reducing tobacco and nicotine use among women in treatment for substance use disorder: evaluation of the knit to quit program

INTRODUCTION

Tobacco and nicotine use are prevalent in residential substance use disorder (SUD) treatment programs that serve pregnant and parenting women. This study evaluated a group intervention that integrates knitting instruction, psychoeducation, and social support to improve readiness to quit and reduce tobacco and nicotine use among this population.

METHODS

Clients and staff in four residential SUD treatment programs were assigned to a six-week group intervention or a wait-list control group. Intervention implementation and preliminary effectiveness were assessed using surveys, interviews, and observational measures.

RESULTS

From pre- to post-test, knowledge related to tobacco and nicotine use increased and number of cigarettes smoked per day and nicotine dependence decreased, on average. Additionally, the intervention group reported lower levels of nicotine dependence relative to the control group. Participants described knitting as an enjoyable replacement for smoking and a strategy to regulate stress and emotions.

CONCLUSIONS

Smoking cessation interventions that include knitting are promising and warrant further testing.

Challenges to smoking cessation in patients with substance use disorders

Despite significant progress in tobacco control measures and stringent smoking policies, cigarette smoking remains one of the largest preventable causes of death and disability worldwide. The World Health Organization estimates that over 8 million global deaths are attributed to smoking yearly, and in Singapore, more than 2,000 Singaporeans die prematurely due to smoking-related diseases each year.1,2

Implementing a tobacco-free workplace program at a substance use treatment center: a case study

BACKGROUND

People with substance use disorders smoke cigarettes at much higher rates than the general population in the United States and are disproportionately affected by tobacco-related diseases. Many substance use treatment centers do not provide evidence-based tobacco cessation treatment or maintain comprehensive tobacco-free workplace policies. The goal of the current work is to identify barriers and facilitators to a successful and sustainable implementation of a tobacco-free workplace program, which includes a comprehensive tobacco-free policy and evidence-based cessation treatment services, in a substance use treatment center.

METHODS

This study is based on an ethnographic approach and uses a qualitative case study design. Data were collected via interviews with staff (n = 6) and clients (n = 16) at the substance use treatment center and site visits (n = 8). Data were analyzed using thematic analysis guided by the extended Normalization Process Theory designed to inform the implementation of innovations in healthcare practice.

RESULTS

Staff at the substance use treatment center supported the implementation of the program and shared a good understanding of the purpose of the intervention and its potential benefits. However, the study identified significant challenges faced by the center during implementation, including widespread tobacco use among clients, contributing to attitudes among staff that tobacco cessation was a low-priority problem due to a perceived lack of interest in quitting and inability to quit among their clients. We identified several factors that contributed to changing this attitude, including provision of tobacco training to staff, active leadership support, low number of staff members who smoked, and access to material resources, including nicotine replacement products. The implementation and active enforcement of a comprehensive tobacco-free workplace program contributed to a gradual change in attitudes and improved the provision of evidence-based tobacco cessation care at the substance use treatment center.

CONCLUSIONS

Substance use treatment centers can integrate tobacco cessation practices in their daily operations, despite multiple challenges they face due to the complex behavioral health and socioeconomic needs of their clients. With proper support, substance use treatment centers can provide much needed tobacco cessation care to their clients who are disproportionately affected by tobacco-related health conditions and systemic health inequities.

Technology-based interventions for tobacco smoking prevention and treatment: a 20-year bibliometric analysis (2003-2022)

BACKGROUND

Substance abuse, particularly tobacco smoking, is a significant global public health concern. Efforts have been made to reduce smoking prevalence and promote cessation, but challenges, such as nicotine addiction, marketing tactics by tobacco industry, and cultural acceptability hinder progress. Technology has emerged as a potential tool to address these challenges by providing innovative scalable interventions. The objective of the study was to analyze and map scientific literature on technology-based intervention for tobacco prevention and treatment.

METHODS

A bibliometric methodology was conducted. Scopus database was used to retrieve relevant research articles published between 2003 and 2022. The analysis included publication trends, key contributors, research hotspots, research themes, the most impactful articles, and emerging research topics.

RESULTS

A total of 639 articles were found, with a slow and fluctuating growth pattern observed after 2011. The Journal of Medical Internet Research was the most prominent journal in the field. The United States was the leading country in the field, followed up by the United Kingdom, and the Netherlands. Research hotspots included smoking cessation, randomized controlled trials, and technology-based methods such as internet, mHealth, smartphone apps, text messages, and social media. Four primary research themes were identified: development of smartphone applications, efficacy of text messaging interventions, acceptance and effectiveness of smartphone applications, and interventions targeting young adults and students using mobile phone and social media platforms. The top 10 cited articles demonstrated effectiveness of digital interventions in promoting smoking cessation rates and reducing relapse rates. Emerging research topics included the use of virtual reality interventions, interventions for specific populations through personalized tools, and technology-based interventions in non-Western countries.

CONCLUSIONS

The findings of the current study highlight the potential of technology to address the challenges associated with tobacco smoking. Further future research in this area is warranted to continue advancing the field and developing effective and evidence-based interventions to combat tobacco smoking.

Predictors of cigarette smoking in pregnant women with substance use disorders

BACKGROUND

Cigarette smoking is common among pregnant women with substance use disorders (SUD) and may contribute to more adverse health consequences for the infant than alcohol and illicit drug use. However, most studies focused on stopping illicit drug use and paid little attention to cigarette smoking in pregnant women with SUD.

PURPOSE

To identify predictors of current smoking among pregnant women with SUD, given past-month psychological distress, alcohol use and illicit drug use, the receipt of past-year mental health and substance use treatment controlling for potential confounders.

METHODS

Secondary analysis of cross-sectional data from the National Survey on Drug Use and Health (NSDUH) 2015-2019 was conducted. The NSDUH included 3,540 pregnant women aged 18-44 years; among them were 195 lifetime smokers with SUD. Multiple logistic regression modeling was used to examine the probability of prenatal smoking.

RESULTS

Sixty-one percent of pregnant women with SUD reported current cigarette smoking. The likelihood of prenatal smoking increased with a higher level of past-month psychological distress (Adjusted Odds Ratio [AOR] 1.14; 95% Confidence Interval [CI]: 1.02-1.28), past-month illicit drug use (AOR: 5.68; 95% CI: 1.59-20.21), and past-year substance use treatment receipt (AOR: 5.73; 95% CI: 1.88-17.45).

CONCLUSION

The receipt of substance use treatment markedly increased the probability of smoking in pregnant women with SUD. Treatment and policy initiatives are required to address and integrate cigarette smoking within other substance use treatment modalities for pregnant women with SUD.

Sex differences in the clinical manifestations related to dependence behaviors in medication-overuse headache

OBJECTIVE

The present study aimed to compare sex differences in the clinical manifestations related to dependence behaviors in medication-overuse headache (MOH).

METHODS

Consecutive patients with newly diagnosed chronic migraine (CM) with and without MOH based on the Third Edition of International Classification of Headache Disorders (ICHD-3) were enrolled prospectively from the headache clinic of a tertiary medical center. Demographics and clinical profiles were collected by using a questionnaire, which included current use of tobacco, alcohol, and caffeinated beverages, the Leeds Dependence Questionnaire (LDQ), the Severity of Dependence Scale (SDS), the Headache Impact Test-6 (HIT-6), and the Pittsburgh Sleep Quality Index (PSQI).

RESULTS

In total, 1419 CM patients (1135F/284 M, mean age 41.7 ± 13.9 years) were recruited, including 799 with MOH (640F/159 M, mean age 42.5 ± 13.2 years) (56.3%). Smoking was associated with an increased risk for MOH in men (odds ratio [OR] = 3.60 [95% confidence interval = 1.73-7.50], p = 0.001), but not in women (OR = 1.34 [0.88-2.04], p = 0.171) (p = 0.021 for interaction). Hypnotic use ≥ 3 days/week was a risk factor for MOH (OR = 2.55 [95% confidence interval = 2.00-3.24], p < 0.001), regardless of sex. By using receiver operating characteristics (ROC) curves, the cutoff scores of the LDQ for MOH were determined at 7 for women and 6 for men, and those for the SDS were 5 and 4, respectively (area under curve all ≥ 0.83). Among patients with MOH, the male sex was associated with a shorter latency between migraine onset and CM onset (12.9 ± 11.1 vs. 15.4 ± 11.5 years, p = 0.008), despite less average headache intensity (6.7 ± 1.9 vs. 7.2 ± 1.9, p = 0.005), functional impacts (HIT-6: 63.4 ± 8.3 vs. 65.1 ± 8.0, p = 0.009), and sleep disturbances (PSQI: 10.9 ± 4.4 vs. 12.2 ± 4.3, p = 0.001).

CONCLUSIONS

The current study identified an association between smoking and MOH in men, as well as sex-specific cutoffs of the LDQ and the SDS, for MOH. MOH was characterized by a shorter latency between migraine onset and CM onset in men and a more severe phenotype in women. Sex should be considered as an important factor in the evaluation of MOH.

Narcotics Anonymous attendees' perceptions and experiences of substitute behaviors in the Western Cape, South Africa

BACKGROUND

Much remains unknown about the dynamics of substitute behaviors during addiction recovery among persons attending recovery support groups. Insight into the nature, motives for, and course of substitute behaviors could help to shape recovery support and harm reduction services.

METHODS

Twenty-three semi-structured in-depth interviews (n = 14 males and n = 9 females) were conducted with a convenience sample of Narcotics Anonymous attendees from a number of groups in the Western Cape, South Africa. Participants ranged in age from 22-55 years (M = 39.3, SD = 9.35).

RESULTS

Thematic analysis yielded four themes: (i) substance-to-substance substitution; (ii) substance-to-behavior substitution; (iii) substitute behaviors and harm (reduction) and (iv) support needs to manage and resolve substitute behaviors. According to the study, participants' substitute behaviors developed across recovery stages; were temporary or long-term replacements for substance use disorders and were engaged for distraction, isolation from others, calming, assuaging boredom, keeping occupied, filling a perceived experiential void, modifying mood and to self-medicate. While substitutes were utilized for harm reduction or relapse prevention, the potential for ostensibly healthy behaviors to threaten recovery and lead to relapse was also recognized.

CONCLUSIONS

Self-monitoring, ongoing vigilance, and awareness of when substitutes become genuine addictions are critical for timely, suitable interventions.

Smoking Behavior and Wellness among Individuals in Substance Use Disorder Treatment

Tobacco-related morbidity and mortality disproportionately affect people with substance use disorders (SUD). Encouraging overall wellness may support tobacco use cessation. We investigated relationships between wellness (health status, physical activity, sugar-sweetened beverage (SSB) consumption), cigarette smoking, and smoking cessation among SUD treatment patients to inform clinical care. Cross-sectional surveys were conducted with 395 patients in 20 California residential SUD programs. Using multivariate regression, we examined associations between smoking status and wellness. Among smokers, we examined associations between lifetime smoking exposure, cessation behaviors and attitudes, and wellness. Compared to nonsmokers (n = 121), smokers (n = 274) reported more SSB consumption, poorer physical health, and more respiratory symptoms. Among smokers, SSB consumption and respiratory symptoms increased per ten pack-years of smoking. Smokers with respiratory symptoms reported higher motivation to quit and more use of nicotine replacement therapy (NRT). Smokers with more days of poor mental health reported lower motivation to quit. Overall, cigarette smoking was associated with other health-risk behaviors among SUD treatment patients. Respiratory symptoms may increase, and poor mental health may decrease, SUD patients' intent to quit smoking. To reduce chronic disease risk among SUD patients, treatment programs should consider promoting overall wellness concurrently with smoking cessation.

Factors Affecting Initiation and Retention of Medication-Assisted Recovery (MAR) within a Pilot Pharmacist-Involved Practice Model at a Federally Qualified Healthcare Center (FQHC) during the COVID-19 Pandemic

BACKGROUND

During the COVID-19 pandemic, opioid-related overdose deaths increased. Although Medication-Assisted Treatment or Recovery (MAT or MAR) is available, initiation and retention rates vary. The goal of this study was to evaluate clinical, demographic, and Social Determinant of Health factors affecting MAR initiation, on-time initiation of medications, and successful retention in the program. The secondary goal was to evaluate the impact of a novel interprofessional practice model incorporating pharmacists.

METHODS

A retrospective analysis was conducted using electronic health record data from a pilot MAR Program initiated within a California Federally Qualified Healthcare Center.

RESULTS

From September 2019 to August 2020, 48 patients enrolled into the program. On-time initiation of medications occurred in 68% of patients and average program retention was 96.4 ± 95.8 days. Patients currently using opioids (p = 0.005) and those receiving supportive medications (p = 0.049) had lower odds of on-time MAR initiation. There were no statistically significant factors associated with successful retention in the program. The number of visits with members of the interprofessional team did not significantly affect on-time initiation or successful retention.

CONCLUSIONS

Current opioid use and receipt of supportive medications were associated with lower on-time medication initiation. Further studies are warranted to explore additional factors which may affect initiation and retention.

Preliminary feasibility of integrating tobacco treatment into SUD peer recovery coaching: a mixed-methods study of peer recovery coaches

BACKGROUND

Individuals with substance use disorder (SUD) have high prevalence of cigarette smoking and difficulty quitting. Peer recovery coaches (PRCs; individuals with lived SUD experience) facilitate SUD behavior change in recoverees but it is unknown if/how they address tobacco treatment in SUD recovery coaching. We assessed PRC's tobacco-related practices and attitudes about tobacco treatment in SUD recovery.

METHODS

The Tobacco use In Peer-recovery Study (TIPS) was a cross-sectional mixed-methods pilot survey (January-March 2022) of the 26 PRCs employed by a Massachusetts-based healthcare system's 12 SUD treatment clinics/programs. PRCs completed a quantitative survey (n = 23/26; 88%) and a telephone-based qualitative interview (n = 20/26; 77%).

RESULTS

One-third of PRCs reported current smoking, 50% reported former smoking, and 18% never smoked. Among PRCs, 61% reported accompanying recoverees outdoors to smoke, 26% smoked with recoverees, 17% had provided cigarettes to recoverees, 32% used smoking to help build peer-relationships, and 74% rated smoking as socially acceptable in SUD treatment. PRCs reported regularly talking to recoverees about tobacco treatment (65%), believed they should have a role in helping recoverees quit smoking (52%), and were interested in tobacco treatment training (65%). A majority of both nonsmoking and current smoking PRCs (73% vs. 57%) regularly talked to recoverees about quitting smoking.

CONCLUSION

PRCs' attitudes about integrating tobacco treatment into SUD recovery coaching were generally positive and PRCs reported they could have a role in helping recoverees with tobacco treatment. Barriers to integrating tobacco treatment into SUD recovery include use of cigarettes as a peer-recovery tool and high prevalence and social acceptability of smoking in SUD recovery.

Influence of Provider and Leader Perspectives about Concurrent Tobacco-Use Care during Substance-Use Treatment on Their Tobacco Intervention Provision with Clients: A Mixed-Methods Study

People with substance-use disorders have elevated rates of tobacco use compared with the general population, yet rarely receive tobacco-dependence treatment within substance-use treatment settings (SUTS). One barrier to delivering evidence-based interventions in SUTS is providers' misconception that treating tobacco use and non-nicotine substance use concurrently jeopardizes clients' substance-use recovery, although research indicates that it enhances support for recovery and relapse prevention. A total of 86 treatment providers employed in SUTS (i.e., 9 Federally Qualified Health Centers, 16 Local Mental Health Authorities (LMHAs), 6 substance-use treatment programs in LMHAs, and 55 stand-alone substance-use treatment centers) in Texas, USA, answered survey questions about their (1) thoughts about treating tobacco during substance-use treatment, and (2) delivery of the 5A's tobacco-use intervention (Ask, Advise, Assess, Assist, Arrange). Twenty-six providers and leaders were interviewed about attitudes toward tobacco-free workplace policies and tobacco dependence and the relative importance of treating tobacco (vs. other substance-use disorders) at their center. Providers who did not believe tobacco use should be addressed as soon as clients begin treatment (i.e., endorsed responses of after 1 year, it depends on the client, or never) had lower odds of Asking clients about their tobacco use (OR = 0.195), Advising clients to quit smoking (OR = 0.176), and Assessing interest in quitting smoking (OR = 0.322). Qualitative results revealed barriers including beliefs that clients need to smoke to relieve the stress of substance-use recovery, are disinterested in quitting, fears that concurrent treatment would jeopardize substance use, and limited resources; additional training and education resources was the key facilitator theme. The results demonstrate a critical need to eliminate barriers to tobacco-treatment provision for clients in SUTS through education to correct misperceptions, specialized training to equip providers with knowledge and skills, and resources to build center capacity. Integrating evidence-based smoking interventions into routine care is key to support the recovery efforts of clients in SUTS.

Comparing client and staff reports on tobacco-related knowledge, attitudes, beliefs and services provided in substance use treatment

INTRODUCTION

Smoking is highly prevalent in substance use disorder (SUD) programs, but few studies have explored the tobacco-related attitudes of staff and clients in the same program. The aim of this study was to compare staff and client reports on 10 tobacco-related items and associate them with tobacco measures implemented in the programs.

METHODS

A cross-sectional survey was conducted in 18 residential SUD programs from 2019 to 2020. Overall, 534 clients and 183 clinical staff self-reported their tobacco use, knowledge, attitudes, beliefs, and practices/services regarding smoking cessation. Ten comparable items were asked of both clients and staff. Differences in their responses were tested using bivariate analyses. We examine the association between selected tobacco-related items on making a quit attempt and planning to quit in the next 30 days.

RESULTS

In all, 63.7% of clients were current cigarette users versus 22.9% of staff. About half of clinicians (49.4%) said they had the skills to help patients quit smoking, while only 34.0% of clients thought their clinicians had these skills (p=0.003). About 28.4% of staff reported encouraging their patients to use nicotine replacement treatment (NRT), and 23.4% of patients said they had been encouraged to use these products. Client reports of planning a quit attempt were positively correlated with whether both staff and clients reported that the use of NRT was encouraged (clients: r=0.645 p=0.004; staff: r=0.524 p=0.025).

CONCLUSIONS

A low level of tobacco-related services was provided by staff and received by clients. In programs where smokers were encouraged to use NRT, a higher percentage of smokers planned a quit attempt. Tobacco-related training among staff, and communication about tobacco use with clients, should be improved to make tobacco services more visible and accessible in SUD treatment.

Tabac et précarité : l’enjeu central de l’accès aux soins

The prevalence and severity of smoking are particularly high in populations in precarious situations and make smoking an essential determinant of social inequalities in health, due to its particularly catastrophic impact on the health of these populations. The general reduction in smoking, less significant in disadvantaged populations, contributes to further increasing these inequalities, and smoking tends to be concentrated in the most vulnerable populations. The relationships between tobacco and precariousness are examined by identifying, based on a review of the literature, the main common factors of vulnerability: stress and social adversity, self-stigma, a low feeling of self-efficacy, the social function of tobacco use, the ambivalence of demands, associated addictions, the severity of tobacco dependence, distance from support and care systems, etc. Specific attention is paid to certain particular conditions: mental health disorders, addictions (other than tobacco), inadequate housing, detention, migration. On this basis, courses of action are proposed to improve access to care and its effectiveness for the people concerned. Emphasis is placed on the mobilization of professionals who often tend to neglect issues of smoking in view of the immediate severity of the problems at the origin of the demands of the people received. A support offer for harm reduction (vaping in particular) seems particularly suited to often-ambivalent demands. The importance of networking and the involvement of CSAPAs/CAARUDs is also underlined. At the systemic level, all of this must be accompanied by political advocacy to reduce these inequalities and social determinants of health..

Tobacco use characteristics, treatment preferences, and motivation to quit among adults accessing a day shelter in Oklahoma City

Background

Smoking rates are exceptionally high among adults experiencing homelessness (AEH). Research is needed to inform treatment approaches in this population.

Methods

Participants (n=404) were adults who accessed an urban day shelter and reported current smoking. Participants completed surveys regarding their sociodemographic characteristics, tobacco and substance use, mental health, motivation to quit smoking (MTQS), and smoking cessation treatment preferences. Participant characteristics were described and compared by MTQS.

Results

Participants who reported current smoking (N=404) were primarily male (74.8%); White (41.4%), Black (27.8%), or American Indian/Alaska Native (14.1%) race; and 10.7% Hispanic. Participants reported a mean age of 45.6 (SD=11.2) years, and they smoked an average of 12.6 (SD=9.4) cigarettes per day. Most participants reported moderate or high MTQS (57%) and were interested in receiving free cessation treatment (51%). Participants most frequently selected the following options as among the top 3 treatments that offered the best chance of quitting: Nicotine replacement therapy (25%), money/gift cards for quitting (17%), prescription medications (17%), and switching to e-cigarettes (16%). Craving (55%), stress/mood (40%), habit (39%), and being around other smokers (36%) were frequently identified as the most challenging aspects of quitting. Low MTQS was associated with White race, lack of religious participation, lack of health insurance, lower income, greater cigarettes smoked per day, and higher expired carbon monoxide. Higher MTQS was associated with sleeping unsheltered, cell phone ownership, higher health literacy, more years of smoking, and interest in free treatment.

Discussion

Multi-level, multi-component interventions are needed to address tobacco disparities among AEH.

Potential effects of nicotine content in cigarettes on use of other substances

A national nicotine reduction policy has the potential to reduce cigarette smoking and associated adverse health impacts among vulnerable populations. However, possible unanticipated adverse effects of reducing nicotine content in cigarettes, such as increasing the use of alcohol or other abused substances, must be examined. The purpose of this study was to evaluate the effects of exposure to varying doses of nicotine in cigarettes on use of other substances. This was a secondary analysis (n = 753) of three simultaneous, multisite, double-blind, randomized-controlled trials examining 12 weeks of exposure to study cigarettes varying in nicotine content (0.4, 2.4, 15.8 mg nicotine/g tobacco) among daily smokers from three vulnerable populations: individuals with affective disorders (n = 251), individuals with opioid use disorder (n = 256), and socioeconomically-disadvantaged women of reproductive age (n = 246). Effect of study cigarette assignment on urine toxicology screens (performed weekly) and responses to drug and alcohol use questionnaires (completed at study weeks 6 and 12) were examined using negative binomial regression, logistic regression, or repeated measures analysis of variance, controlling for sex, age, and menthol status. The most common substances identified using urine toxicology included tetrahydrocannabinol (THC; 44.8%), cocaine (9.2%), benzodiazepine (8.6%), and amphetamines (8.0%), with 57.2% of participants testing positive at least once for substance use (27.3% if excluding THC). No significant main effects of nicotine dose were found on any of the examined outcomes. These results suggest that reducing nicotine content does not systematically increase use of other substances, even among individuals at increased risk of substance use. ClinicalTrials.gov Identifiers: NCT02232737, NCT2250664, NCT2250534.

The effect of a real-world intervention for smoking cessation in Adults with and without comorbid psychiatric and substance use disorders: A one-year follow-up study

This study evaluated short-term abstinence and prolonged abstinence following a real-world intervention for smoking cessation in a sample of 1,213 adults with nicotine dependence only (ND), nicotine dependence and past history of another substance use disorder (ND-SUD), nicotine dependence and a non-substance use mental health disorder (ND-MD), or nicotine dependence and comorbid substance use disorder and mental health disorder (ND-SUMD). Participants received six sessions of group Cognitive Behavioral Therapy (CBT) and pharmacotherapy. Abstinence was assessed following completion of treatment and at 12-month follow-up. Logistic regression and survival analyses were performed. Participants who were lost to follow-up were included as censored and baseline differences were used as covariates in multivariate analyses. Rates of short-term abstinence and prolonged abstinence were significantly different between ND and ND-SUMD (20.9% versus 36.5%; 14.9% versus 22.4%, respectively). Among participants with follow-up, 37.7% were abstinent at 12-month. Diagnostic group was not associated with abstinence at 12-month follow-up after adjusting for nicotine dependence severity, which was associated with lower likelihood of abstinence (HR=1.11;95%CI:1.03-1.19). CBT plus pharmacotherapy had a positive effect on smoking cessation among the participants in this study. Special attention should be given to adults with more severe nicotine dependence and comorbid psychiatric and substance use disorders.

Integrating Social Determinants of Health With Tobacco Treatment for Individuals With Opioid Use Disorder: Feasibility and Acceptability Study of Delivery Through Text Messaging

Background

Individuals with opioid use disorder (OUD) have a high prevalence of smoking and frequently experience unmet social determinants of health (SDOH), which may be barriers to smoking cessation. Hospitalization is an opportunity to encourage smoking cessation. Unfortunately, many clinicians do not provide tobacco treatment to support the maintenance of cessation achieved during hospitalization. Interventions are required to support these high-risk individuals after hospital discharge.

Objective

This study aimed to test the feasibility and acceptability of a 28-day SMS text messaging program tailored to individuals with OUD, which provides smoking cessation support and addresses unmet SDOH needs.

Methods

From July to December 2019, we enrolled 25 individuals who were hospitalized with tobacco dependence and OUD at our large safety net hospital. The SMS text messaging program was initiated during hospitalization and continued for 28 days. Participants were enrolled in either the ready to quit within 30 days or the not ready to quit within 30 days program based on their readiness to quit. Automated SMS text messages were sent twice daily for 4 weeks. The topics included health and cost benefits of quitting, both general and opioid specific (16 messages); managing mood and stress (8 messages); motivation, coping strategies, and encouragement (18 messages); addressing medication misconceptions (5 messages); links to resources to address substance use (2 messages providing links to the Massachusetts Substance Use Helpline and Boston Medical Center resources), tobacco dependence (1 message providing a link to the Massachusetts Quitline), and unmet SDOH needs (6 messages assessing SDOH needs with links to resources if unmet SDOH needs were identified). Questionnaires and interviews were conducted at baseline and at 2 and 4 weeks after enrollment.

Results

The participants were 56% (14/25) female, 36% (9/25) African American, 92% (23/25) unemployed, and 96% (24/25) Medicaid insured. Approximately 84% (21/25) activated the program, and none of the participants unsubscribed. Approximately 57% (12/21) completed either the 2- or 4-week questionnaires. Program satisfaction was high (overall mean 6.7, SD 0.8, range 1-7). Many perceived that the SMS text messaging program provided social support, companionship, and motivation to stop smoking. Messages about the health benefits of quitting were well received, whereas messages on how quitting cigarettes may prevent relapse from other substances had mixed views, highlighting the importance of tailoring interventions to patient preferences.

Conclusions

SMS text messaging to promote smoking cessation and address SDOH needs may be an effective tool for improving quit rates and health outcomes in individuals with tobacco dependence and OUD. Our study adds to the growing body of evidence that SMS text messaging approaches are feasible and acceptable for providing tobacco treatment to all individuals who smoke, even among low-income populations who have OUD and are not ready to quit.

Associations of tobacco cigarette use and dependence with substance use disorder treatment completion by sex/gender and race/ethnicity

INTRODUCTION

Individuals with substance use disorders (SUD) are approximately five times more likely to smoke cigarettes than the general population. Individuals who smoke cigarettes have greater odds of SUD relapse compared to individuals who do not smoke cigarettes, but we know little about how cigarette use is related to SUD treatment completion overall by sex/gender or race/ethnicity.

METHODS

This study examined 2855 adults (71.98 % male; >70 % racial/ethnic minority) in outpatient and residential SUD treatment at a New York-based treatment agency over a six-month period in 2018.

RESULTS

Overall, approximately three-fourths of SUD treatment-seeking participants smoked cigarettes, with high rates across sex/gender and racial/ethnic groups. Nicotine dependence did not differ by sex/gender, and White Non-Hispanic adults had the highest levels of nicotine dependence across racial/ethnic groups. Those who smoked cigarettes were significantly less likely to complete treatment compared to those who did not smoke cigarettes (OR = 0.69; 95 % CI: 0.58, 0.82). The study found no overall differences in SUD treatment completion and length of stay by sex/gender or race/ethnicity.

CONCLUSIONS

Given the high prevalence of cigarette smoking and lower odds of completing SUD treatment, the current system of care for SUD treatment may be enhanced by addressing cigarette smoking from onset of treatment.

A randomized controlled trial of contingency management for smoking cessation in substance use treatment patients

Background/Objective

Contingency management (CM) is one of the most effective interventions for smokers with substance use disorder (SUD), and no empirical assessment of its long-term efficacy has been conducted so far in a real-world context. The objectives were: (1) examine the additive effectiveness of CM on cognitive-behavioral treatment (CBT) for smoking cessation, and (2) examine the relationship between smoking cessation and substance use abstinence.

Method

A total of 80 participants (75.8% males; M_age = 45.31; SD = 9.64) were assigned to two smoking cessation treatments: CBT or CBT+CM. A set of generalized estimating equations were conducted to examine the effect of treatment condition on smoking outcomes, as well as the effect of smoking status on substance abstinence.

Results

Adding CM to CBT for smoking cessation improved tobacco abstinence rates at the end-of-treatment (p = .049). Tobacco abstinence rates declined over time (p = .012), but no significant effects of treatment condition were observed across follow-ups (p = .260). Smoking cessation was not significantly related to substance abstinence (p ≥ .488).

Conclusions

CM facilitates early abstinence in smokers with SUD, although effects subside after treatment termination. The lack of association between smoking abstinence and substance use suggests no jeopardizing effects as a result of quitting smoking.

Using crowdsourcing to study the differential effects of cross-drug withdrawal for cigarettes and opioids in a behavioral economic demand framework

Smoking rates among those who use prescribed or recreational opioids are significantly higher than the general population. Hypothesized neuropharmacological interactions between opioids and nicotine may contribute to this pattern of polysubstance use, especially during withdrawal. However, little research has examined how the withdrawal of one substance may affect the consumption of the other (i.e., cross-drug withdrawal effects). Behavioral economic demand tasks (e.g., hypothetical purchase tasks) can be used to quickly assess the value of a drug. Crowdsourcing can be a convenient tool to gain preliminary insight into different processes in substance valuation that may otherwise be impossible or prohibitively difficult to study. The purpose of the present study was to provide a preliminary examination of the effects of hypothetical withdrawal of cigarettes and opioids on the consumption of those drugs among polysubstance users. Amazon Mechanical Turk workers who reported daily smoking and at least monthly opioid use completed a series of hypothetical purchase tasks for doses of opioids and cigarettes under various withdrawal conditions. Sensitivity to the price of both drugs decreased when under withdrawal for either, indicating a higher drug value of cigarettes and opioids due to effects of cross-drug withdrawal. Nicotine and opioid dependence severity, impulsive choice, and riskiness were also positively related to drug purchasing. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Longitudinal Associations Between Use of Tobacco and Cannabis Among People Who Smoke Cigarettes in Real-world Smoking Cessation Treatment

OBJECTIVES

Cannabis use is common among people who use tobacco. However, little is known about the relationship between change in use of tobacco and cannabis over time. We examined the longitudinal associations between use of the two substances in a realworld smoking cessation context.

METHODS

This study analyzed data from a 3-month smoking cessation program delivered via Facebook in the San Francisco Bay Area, USA during 2016-2020. The sample included 487 participants who smoked cigarettes ( Mage = 25.4 years old, 39.6% Male, 40.3% White). The regressors (ie, frequency or number of days during the past 30 days using cigarettes, e-cigarettes, and cigars) and the outcome (ie, frequency of cannabis use) were measured at both baseline and 3-month follow-up. Random-effects modeling examined the longitudinal associations between the regressors and the outcome controlling for alcohol use and baseline demographics.

RESULTS

Participants who increased (or decreased) their frequency of use of cigarettes (β = 0.17, 95% confidence interval [CI] = 0.10, 0.24), e-cigarettes (β = 0.11, 95% CI = 0.05, 0.17), or cigars (β = 0.19, 95% CI = 0.06, 0.32) also increased (or decreased) their frequency of cannabis use after 3 months. Sexual minority participants (vs heterosexuals) (β = 2.12, 95% CI = 0.01, 4.24) and those whose education attainment being high school or less (vs higher education) (β = 3.89, 95% CI = 1.25, 6.53) were more likely to increase their frequency of cannabis use over time.

CONCLUSIONS

The findings indicated positive associations between change in use of tobacco and cannabis use. Promoting cessation among people who use tobacco may help to reduce their cannabis use.

Disparities in smoking prevalence and associations with mental health and substance use disorders in underserved communities across the United States

BACKGROUND

Smoking contributes to the top 3 deadliest cancers, cancers of the lung, colon, and pancreas, which account for nearly 40% of all cancer-related deaths in the United States. Despite historicly low smoking rates, substantial disparities remain among people with mental health conditions and substance use disorders (SUDs).

METHODS

The study examined the prevalence of smoking among adults from underserved communities who are served at federally qualified health centers through an analysis of the 2014 Health Center Patient Survey. Furthermore, the study assessed associations of smoking with co-occurring mental health conditions and SUDs among adult smokers (n = 1735).

RESULTS

The prevalence of smoking among health center patients was 28.1%. Among current smokers, 59.1% had depression and 45.4% had generalized anxiety. Non-Hispanic Black smokers had more than 2 times the odds of reporting SUDs (adjusted odds ratio [aOR], 2.13; 95% confidence interval [CI], 1.06-4.30). Individuals at or below 100% of the federal poverty level had more than 2 times the odds of having mental health conditions (aOR, 2.55; 95% CI, 1.58-4.11), and those who were unemployed had more than 3 times the odds for SUDs (aOR, 3.21; 95% CI, 1.27-8.10).

CONCLUSIONS

The prevalence of smoking in underserved communities is nearly double the national prevalence. In addition, the study underscores important socioeconomic determinants of health in smoking cessation behavior and the marked disparities among individuals with mental health conditions and SUDs. Finally, the findings illuminate the unique need for tailored treatments supporting cancer prevention care to address challenges confronted by vulnerable populations.

Smoking cessation: health system challenges and opportunities

The systematic integration of evidence-based tobacco treatment has yet to be broadly viewed as a standard-of-care. The Framework Convention on Tobacco Control recommends the provision of support for tobacco cessation. We argue that the provision of smoking cessation services in clinical settings is a fundamental clinical responsibility and permits the opportunity to more effectively assist with cessation. The role of clinicians in prioritising smoking cessation is essential in all settings. Clinical benefits of implementing cessation services in hospital settings have been recognised for three decades-but have not been consistently provided. The Ottawa Model for Smoking Cessation has used an 'organisational change' approach to its introduction and has served as the basis for the introduction of cessation programmes in hospital and primary care settings in Canada and elsewhere. The significance of smoking cessation dwarfs that of many preventive interventions in primary care. Compelling evidence attests to the importance of providing cessation services as part of cancer treatment, but implementation of such programmes has been slow. We recognise that the provision of such services must reflect the realities and resources of a particular health system. In low-income and middle-income countries, access to treatment facilities pose unique challenges. The integration of cessation programmes with tuberculosis control services may offer opportunities; and standardisation of peri-operative care to include smoking cessation may not require additional resources. Mobile phones afford unique opportunities for interactive cessation programming. Health system change is fundamental to improving the provision of cessation services; clinicians can be powerful advocates for such change.

Using Mendelian randomization to explore the gateway hypothesis: possible causal effects of smoking initiation and alcohol consumption on substance use outcomes

BACKGROUND AND AIMS

Initial use of drugs such as tobacco and alcohol may lead to subsequent more problematic drug use-the 'gateway' hypothesis. However, observed associations may be due to a shared underlying risk factor, such as trait impulsivity. We used bidirectional Mendelian randomization (MR) to test the gateway hypothesis.

DESIGN

Our main method was inverse-variance weighted (IVW) MR, with other methods included as sensitivity analyses (where consistent results across methods would raise confidence in our primary results). MR is a genetic instrumental variable approach used to support stronger causal inference in observational studies.

SETTING AND PARTICIPANTS

Genome-wide association summary data among European ancestry individuals for smoking initiation, alcoholic drinks per week, cannabis use and dependence, cocaine and opioid dependence (n = 1749-1 232 091).

MEASUREMENTS

Genetic variants for exposure.

FINDINGS

We found evidence of causal effects from smoking initiation to increased drinks per week [(IVW): β = 0.06; 95% confidence interval (CI) = 0.03-0.09; P = 9.44 × 10-06 ], cannabis use [IVW: odds ratio (OR) = 1.34; 95% CI = 1.24-1.44; P = 1.95 × 10-14 ] and cannabis dependence (IVW: OR = 1.68; 95% CI = 1.12-2.51; P = 0.01). We also found evidence of an effect of cannabis use on the increased likelihood of smoking initiation (IVW: OR = 1.39; 95% CI = 1.08-1.80; P = 0.01). We did not find evidence of an effect of drinks per week on other substance use outcomes, except weak evidence of an effect on cannabis use (IVW: OR = 0.55; 95% CI = 0.16-1.93; P-value = 0.35). We found weak evidence of an effect of opioid dependence on increased drinks per week (IVW: β = 0.002; 95% CI = 0.0005-0.003; P = 8.61 × 10-03 ).

CONCLUSIONS

Bidirectional Mendelian randomization testing of the gateway hypothesis reveals that smoking initiation may lead to increased alcohol consumption, cannabis use and cannabis dependence. Cannabis use may also lead to smoking initiation and opioid dependence to alcohol consumption. However, given that tobacco and alcohol use typically begin before other drug use, these results may reflect a shared risk factor or a bidirectional effect for cannabis use and opioid dependence.

current acute pancreatitis prevention by the elimination of alcohol and cigaette smoking (REAPPEAR): protocol of a randomised controlled trial and a cohort study

BACKGROUND/OBJECTIVES

Acute recurrent pancreatitis (ARP) due to alcohol and/or tobacco abuse is a preventable disease which lowers quality of life and can lead to chronic pancreatitis. The REAPPEAR study aims to investigate whether a combined patient education and cessation programme for smoking and alcohol prevents ARP.

METHODS AND ANALYSIS

The REAPPEAR study consists of an international multicentre randomised controlled trial (REAPPEAR-T) testing the efficacy of a cessation programme on alcohol and smoking and a prospective cohort study (REAPPEAR-C) assessing the effects of change in alcohol consumption and smoking (irrespective of intervention). Daily smoker patients hospitalised with alcohol-induced acute pancreatitis (AP) will be enrolled. All patients will receive a standard intervention priorly to encourage alcohol and smoking cessation. Participants will be subjected to laboratory testing, measurement of blood pressure and body mass index and will provide blood, hair and urine samples for later biomarker analysis. Addiction, motivation to change, socioeconomic status and quality of life will be evaluated with questionnaires. In the trial, patients will be randomised either to the cessation programme with 3-monthly visits or to the control group with annual visits. Participants of the cessation programme will receive a brief intervention at every visit with direct feedback on their alcohol consumption based on laboratory results. The primary endpoint will be the composite of 2-year all-cause recurrence rate of AP and/or 2-year all-cause mortality. The cost-effectiveness of the cessation programme will be evaluated. An estimated 182 participants will be enrolled per group to the REAPPEAR-T with further enrolment to the cohort.

ETHICS AND DISSEMINATION

The study was approved by the Scientific and Research Ethics Committee of the Hungarian Medical Research Council (40394-10/2020/EÜIG), all local ethical approvals are in place. Results will be disseminated at conferences and in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT04647097.

Implementation and Outcomes of a Comprehensive Tobacco Free Workplace Program in Opioid Treatment Centers

Tobacco use is exceedingly high among individuals receiving care for opioid addiction, but not commonly addressed by clinicians in treatment settings. Taking Texas Tobacco Free (TTTF) is a comprehensive tobacco-free workplace (TFW) program that builds treatment centers' capacity to address tobacco use with evidence-based tobacco cessation policies and practices. Here, we examine the process and outcomes of TTTF's implementation within 7 opioid addiction centers. Program goals were structured according to the RE-AIM framework. Pre- and post-implementation data were collected from client facing and non-client facing employees to assess changes in education, training receipt, knowledge, and intervention behaviors, relative to program goals. Centers reported tobacco screenings conducted and nicotine replacement therapy (NRT) delivered through 6 months post-implementation. Overall, 64.56% of employees participated in TTTF-delivered tobacco education, with a 54.9% gain in tobacco control and treatment knowledge (p < 0.0001), and significant increases in exposure to education about tobacco use and harms among individuals with opioid use disorder (p = 0.0401). There were significant gains in clinicians' receipt of training in 9/9 tobacco education areas (ps ≤ 0.0118). From pre- to post-implementation, there were mean increases in the use of the 5A's (ask, advise, assess, assist, and arrange) and other evidence-based interventions for tobacco cessation, with statistically significant gains seen in NRT provision/referral (p < 0.0001). Several program goals were achieved or exceeded; however, 100% center participation in specialized clinical trainings was among notable exceptions. One program withdrew due to competing pandemic concerns; all others implemented comprehensive TFW policies. Overall, TTTF may have improved participating opioid treatment centers' capacity to address tobacco use, although study limitations, including lower post-implementation evaluation response rates, suggest that results require replication in other opioid addiction treatment settings.

Readiness to Quit Smoking among Smokers in Substance Use Treatment: Associations with Stress, Substance Use Severity, Relapse Concerns and Gender

Smoking prevalence among individuals in substance use treatment remains higher than in the general population. Given that many smokers in substance use treatment are reluctant to quit smoking, it is important to understand the factors that impede smokers' readiness to quit. The current study used baseline data from a randomized controlled trial involving 60 adult smokers receiving substance use treatment to investigate relations between the severity of substance use problems (SSUP), perceived stress (PS), concerns about relapse (i.e., concerns that quitting smoking would hurt one's recovery process (CR)), and readiness to quit smoking. This study also investigated moderating roles of concerns about relapse and gender. Regression analyses showed a significant main effect of concerns about relapse on readiness to quit in the next 30 days, but no effect for either severity of substance use problems, perceived stress, or the SSUPxCR interaction. There were significant interaction effects between PS and both gender and CR. Among men and those with lower concerns about relapse, higher perceived stress was significantly associated with lower readiness to quit. Findings suggest that psychoeducation to alleviate concerns that quitting smoking could limit substance use recovery could be beneficial. Stress management interventions may be especially beneficial to men.

Substitute Behaviors following Residential Substance Use Treatment in the Western Cape, South Africa

The dynamics of substitute behaviors and associated factors remain poorly understood globally, and particularly in low- and middle-income contexts. This prospective study describes the prevalence and types of substitute behaviors as well as predictors, correlates, and motivations associated with substitution in persons (n = 137) admitted to residential substance use treatment in the Western Cape province of South Africa. The brief assessment of recovery capital, overall life satisfaction scale, and an adapted version of the addiction matrix self-report measure were completed during and post-treatment. Results indicate that substitutes were employed consciously for anticipated appetitive effects, for time-spending, (re)connecting with others, and enjoyment. At follow-up, 36% of service users had substituted their primary substance(s) with another substance or behavior; 23% had relapsed and 40% had maintained abstinence. While some service users may be especially vulnerable to developing substitute behaviors, targeted prevention and intervention efforts can reduce this risk.

Cause for concern: Australian youth engaged with alcohol and other drug services are falling behind our community progress in reducing tobacco use

AIM

Tobacco use is decreasing in the general youth population yet little evidence is tracking changes in young people who are engaged with youth alcohol and other drug (AOD) services that are often disengaged from school and wok settings.

METHOD

This study reviews tobacco use amongst 1823 young people engaged with youth AOD services in Victoria in 2013 and 2017 from the Youth Needs Census. This study contrasted use patterns over the three-year period against Australian population data.

RESULTS

The results show tobacco use is not declining in the youth AOD engaged population as observed with other young Australians. Further, reductions in tobacco use observed in the community sample were not evident in the youth AOD group. Finally, high rates of tobacco dependence are shown in the 2016 cohort.

CONCLUSION

The results highlight a need for the adoption of evidence-based tobacco early intervention programs in youth AOD services to address this significant health risk.

HCV Cure and Cannabis Abstinence Facilitate Tobacco Smoking Quit Attempts in HIV-HCV Co-Infected Patients (ANRS CO13 HEPAVIH Cohort Study)

In Western countries, tobacco smoking is highly prevalent among patients co-infected with HIV and hepatitis C virus (HCV). In the era of antiretrovirals and HCV cure, smoking-related health damages contribute greatly to morbidity and mortality in HIV-HCV co-infected patients. We used longitudinal data from the ANRS CO13 HEPAVIH cohort to identify the correlates of tobacco smoking quit attempts (TSQA) in HIV-HCV co-infected patients. TSQA were modelled using a multivariable discrete-time Cox proportional hazards model in 695 HIV-HCV co-infected tobacco smokers. HCV cure was associated with a 76% higher chance of TSQA (adjusted hazard ratio [95% confidence interval]: 1.76 [1.06-2.93], p = 0.029), and cannabis use with a 37% lower chance (0.63 [0.40-1.00], p = 0.049), independently of the mode of HIV transmission, other psychoactive substance use, and body mass index. Patients should be screened for tobacco and cannabis use at HCV treatment initiation and during follow-up. They should also be provided with comprehensive counselling and referral to addiction services. Non-smoking routes of cannabis administration should be promoted for cannabis users who wish to quit smoking tobacco.

Smoking Beyond Prison Bans: The Impact of Prison Tobacco Bans on Smoking Among Prison Entrants

This study aims to determine whether previous exposure to a total prison smoking ban is associated with a reduction in daily smoking postrelease and to identify the factors associated with daily tobacco use. Demographics, incarceration history, and substance use data were collected from the 2016 National Prisoner Entrants' Blood Borne Virus Survey for 389 Australian prison entrants. Predictors of daily smoking among those exposed to a smoking ban were illicit drug use and Indigenous status. No significant association was found between current daily smoking and recent exposure to a prison smoking ban, suggesting that the majority of Australian prisoners exposed to a tobacco ban while incarcerated will return to smoking once released. Complementary and culturally specific interventions supporting abstinence postrelease should be considered.

Organizational Factors Moderating Changes in Tobacco Use Dependence Care Delivery Following a Comprehensive Tobacco-Free Workplace Intervention in Non-Profit Substance Use Treatment Centers

Although tobacco use is the leading preventable cause of death and is elevated among patients with substance use disorders, many substance use treatment centers (SUTCs) do not offer tobacco use interventions (i.e., screening and treatment). This study examined a key outcome of the implementation of a tobacco-free workplace program that provided education and specialized training to employees; namely, changes in clinician provision of the five As (Asking about tobacco use; Advising to quit; Assessing willingness to quit; Assisting with quitting; Arranging follow-up) from before to after the larger program implementation. The five As are a brief tobacco screening and treatment protocol that was taught as part of the program and that formed the basis for further intervention (e.g., provision of nicotine replacement therapies, Motivational Interviewing to enhance desire and willingness to make a quit attempt). Moreover, we also examined organizational moderators that may have impacted changes in the delivery of the five As over time among clinicians from 15 participating SUTCs. The number of the centers' total and unique annual patient visits; full-time employees; and organizational readiness for implementing change were assessed as potential moderators of change in clinicians' behaviors over time. Clinicians completed pre- and post-program implementation surveys assessing their provision of the five As. Results demonstrated significant increases in Asking (p = 0.0036), Advising (p = 0.0176), Assisting (p < 0.0001), and Arranging (p < 0.0001). SUTCs with higher Change Efficacy (p = 0.025) and lower Resource Availability (p = 0.019) had greater increases in Asking. SUTCs with lower Resource Availability had greater increases in Assessing (p = 0.010). These results help guide tobacco control program implementation to increase the provision of tobacco use interventions (i.e., the five As) to SUTC patients and elucidate Change Efficacy and Resource Availability as organizational factors promoting this clinician behavior change.

Analyzing Untreated Alcohol Use Disorder and Factors Related to Help-Seeking Status

OBJECTIVE

Alcohol use disorder (AUD) is a global burden but is also one of the most undertreated mental disorders. This study estimates the treatment rate (i.e., help-seeking status) of high-risk drinkers and factors associated with not receiving treatment in Korea using nationally representative National Health Insurance Service-National Sample Cohort (NHIS-NSC) data.

METHODS

Among 1,025,340 participants, we eliminated those under 20 and those who did not respond to the question regarding alcohol consumption. High-risk drinkers were classified based on their frequency and quantity of alcohol consumption (4 or more drinks for women, 5 or more drinks for men per day on average). In total, 32,225 high-risk drinkers were checked for an actual AUD diagnosis to see their treatment-seeking status.

RESULTS

Among 32,225 high-risk drinkers, only 1.24% had an AUD diagnosis, showing that over 98% of those who could be diagnosed with AUD are not seeking treatment. Factors associated with not seeking treatment were female sex, BMI higher or equal to 18.6, former smoker, middle-aged, and Charlson Comorbidity Index (CCI).

CONCLUSION

Our data show that many high-risk drinkers do not seek treatment in Korea. Experts, policymakers, and clinicians should promote help-seeking behavior for AUD and pay close attention to those at risk of not receiving treatment for AUD.

Factors associated with dual and polytobacco use among people in residential substance use disorder treatment

BACKGROUND AND OBJECTIVES

Little is known about whether people in substance use disorder (SUD) treatment are at risk for multiple-tobacco use. We examined the factors associated with dual- and polytobacco use among clients in SUD treatment.

METHODS

A cross-sectional survey was conducted in 2019 among 562 clients (M_age  = 39, 74% male) in 20 residential SUD treatment programs in California, USA. The outcomes included single-, dual- (use of two products), and polytobacco use (use of three of more products). Independent variables were nicotine dependence, quitting-related factors, blunt/spliff use, and health-related factors. A multinomial model examined associations between the independent variables and the outcome, controlling for demographics, and time in treatment.

RESULTS

Overall, 32.6%, 18.9%, and 14.0% of the sample were single-, dual-, and polytobacco users, respectively. Factors associated with increased odds of polytobacco use included greater nicotine dependence (adjusted odds ratio [AOR] = 1.60; 95% CI = 1.19, 2.16), ever using e-cigarettes for quitting (AOR = 4.56; 95% CI = 2.23, 9.34), and past 30-day use of blunt/spliff (AOR = 2.96; 95% CI = 1.48, 5.89). Factors associated with increased odds of dual use were ever using e-cigarettes for quitting (AOR = 3.19; 95% CI = 1.79, 5.66) and reporting more mentally unhealthy days (AOR = 1.05; 95% CI = 1.02, 1.07).

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

This study extends the literature on tobacco use among people in SUD treatment by revealing the high prevalence of dual- and polytobacco use and the unique characteristics of users. The findings have implications for interventions reducing all types of tobacco use in this understudied population.

Substance Use and Mental Health Outcomes from a Text Messaging-Based Intervention for Smoking Cessation Among Young People Experiencing Homelessness

INTRODUCTION

Cigarette smoking and associated high-risk behaviors are prevalent among youth experiencing homelessness (YEH), making appropriately tailored interventions targeting smoking behavior important for this group. We pilot tested a brief text-messaging intervention (TMI) as an adjunct to standard care for YEH who smoke and found promising preliminary effects of the intervention on smoking cessation. The purpose of the present study was to test the TMI's effect on the secondary outcomes of other substance use (including use of other tobacco/nicotine devices) and mental health symptoms.

METHODS

A total of 77 participants completed the pilot randomized controlled trial, with 40 receiving the TMI (174 automated text messages plus a group smoking counseling session and provision of nicotine patches). They completed an assessment at baseline and another three months later that evaluated use of other tobacco/nicotine devices, alcohol, marijuana, and anxiety and depression symptoms.

RESULTS

We found that the TMI helped to reduce secondary substance use behaviors and mental health symptoms among the participants; mainly there were medium effects of the intervention on changes in other tobacco/nicotine use, drinking, and anxiety and depression symptoms. The intervention did not have an effect on number of marijuana use days in the past month; however, past 30-day marijuana users who received the intervention benefited by reducing the number of times they used marijuana per day.

CONCLUSIONS

In addition to helping reduce cigarette smoking, we found that a TMI for YEH was helpful in improving secondary outcomes, suggesting the promise of the TMI on benefiting YEH even beyond targeted smoking behavior.

IMPLICATIONS

This pilot study demonstrates that by targeting cigarette smoking using a text message-based intervention among youth experiencing homelessness, effects may be seen in other areas of functioning such as other substance use and mental health.

Implementing Clinical Practice Guidelines for Tobacco Cessation in a Women's Residential Substance Use Treatment Facility

BACKGROUND

Tobacco is the leading cause of preventable death, and over 200,000 women die each year of diseases caused by tobacco. Women with substance use disorders (SUDs) are disproportionately affected. Smoking prevalence among individuals enrolled in SUD treatment is 2-4 times higher than that of the general population, yet less than half of all treatment facilities offer tobacco treatment services. However, when individuals combine treatment, they have a greater likelihood of long-term abstinence from alcohol and other substances of use.

METHODS

A quality improvement project was undertaken to implement the U.S. Public Health Service guideline for tobacco cessation in a women's residential substance use treatment facility. Tobacco users were advised on their health risk and recommended to cut down or quit. They were advised that help was available using nicotine replacement therapy, behavioral counseling, or both.

RESULTS

Upon admission, 67% of clients received brief advice to quit, and 30% participated in an intensive treatment aimed at reducing or eliminating cigarette use. At discharge, counseling participants (n = 21) smoked an average of nine cigarettes per day, reduced from 23, which was statistically significant.

IMPLICATIONS FOR PRACTICE

Interventions reduced cigarette smoking in a population at a high risk for adverse outcomes related to use. Results suggest that more clients are interested in tobacco treatment than previously estimated. Increased administrative, clinical, and pharmacy support can sustain and further assist clients with cessation efforts.

A Facebook intervention to address cigarette smoking and heavy episodic drinking: A pilot randomized controlled trial

BACKGROUND

Co-occurrence of tobacco use and heavy episodic drinking (HED; 5+ drinks for men and 4+ drinks for women per occasion) is common among young adults; both warrant attention and intervention. In a two-group randomized pilot trial, we investigated whether a Facebook-based smoking cessation intervention addressing both alcohol and tobacco use would increase smoking abstinence and reduce HED compared to a similar intervention addressing only tobacco.

METHODS

Participants were 179 young adults (age 18-25; 49.7% male; 80.4% non-Hispanic white) recruited from Facebook and Instagram who reported smoking 4+ days/week and past-month HED. The Smoking Tobacco and Drinking (STAND) intervention (N = 84) and the Tobacco Status Project (TSP), a tobacco-only intervention (N = 95), both included daily Facebook posts for 90 days and weekly live counseling sessions in private "secret" groups. We verified self-reported 7-day smoking abstinence via remote salivary cotinine tests at 3, 6, and 12 months (with retention at 83%, 66%, and 84%, respectively). Participants self-reported alcohol use.

RESULTS

At baseline, the participants averaged 10.4 cigarettes per day (SD = 6.9) and 8.9 HED occasions in the past month (SD = 8.1), with 27.4% in a preparation stage of change for quitting smoking cigarettes. Participants reported significant improvements in cigarette smoking and alcohol use outcomes over time, with no significant differences by condition. At 12 months, intent-to-treat smoking abstinence rates were 3.5% in STAND vs. 0% in TSP (biochemically verified) and 29.4% in STAND vs. 25.5% in TSP (self-reported). Compared to TSP, participants rated the STAND intervention more favorably for supporting health and providing useful information.

CONCLUSIONS

Adding an alcohol treatment component to a tobacco cessation social media intervention was acceptable and engaging but did not result in significant differences by treatment condition in smoking or alcohol use outcomes. Participants in both conditions reported smoking and drinking less over time, suggesting covariation in behavioral changes.

Episodic future thinking for smoking cessation in individuals with substance use disorder: Treatment feasibility and acceptability

BACKGROUND

Smokers with substance use disorders (SUD) smoke approximately four times more than the general population. Current efforts are focused on improving smoking cessation treatments for this population. Episodic future thinking (EFT), a novel intervention aimed at decreasing impulsive choice, has shown promising results for reducing cigarette demand in experimental settings. This feasibility study sought to examine the feasibility and preliminary EFT effects on delay discounting (DD) and nicotine intake reductions throughout treatment.

METHOD

Smokers in substance use treatment (N = 29; 75.9% males) received an 8-week cognitive-behavioral treatment (CBT) + EFT for smoking cessation. The study assessed feasibility through successful recruitment rates, retention, and adherence to treatment. Participants' satisfaction acted as our acceptability measure. We computed nonparametric range tests to analyze changes in continuous variables.

RESULTS

Among interested individuals, 42 (43.75%) met the inclusion criteria, and 29 entered the treatment program. Rate of treatment completion was 65.5% (19/29). Mean (SD) sessions attended were 7(1.11), and mean patient satisfaction rating with treatment was 8.83/10. The study observed low compliance with EFT, with 15.8% (3/19) of patients practicing at least 50% of the requested times.

CONCLUSIONS

CBT + EFT is acceptable for the SUD population. However, future studies should implement some adjustments to improve the adherence and feasibility of EFT, such as reducing the number of practices and temporal intervals in EFT events. Given the small sample size, and the absence of a control group, future larger scale trials are needed to elucidate EFT effects on DD and smoking cessation.

Treating patients with multiple substance use in accordance with their personal treatment goals: a new paradigm for addiction treatment

Purpose

This paper aims to present the theoretical foundation and practical approach of “open-target addiction treatment” (OTAT). Traditional treatment programmes are usually-oriented towards fixed predefined goals (abstinence, reduced consumption and harm reduction) and often focus on one substance only (e.g. alcohol). However, as a rule, people who use drugs consume several substances and sometimes additionally exhibit behavioural addictions. For many of these addictions, there is more or less motivation for change, but commonly it is not abstinence as a consistent goal. The paradigm of OTAT systematically considers multi-substance use, expects high readiness to change and is aware that commonly clients lack the willingness to abstain permanently.

Design/methodology/approach

The theory and practice of OTAT involve three components, namely, first, to create a systematic inventory of all psychoactive substances consumed and addictive behaviours performed, second, to clarify, which substance-related change goals clients pursue and third, to choose adequate treatment options matching the substance-specific goals of the clients. Furthermore, OTAT includes didactic tools to support working along with these three steps (e.g. a set of cards to gain an overview over the psychoactive substances used and addictive behaviours performed).

Findings

The systematic implementation of OTAT requires fundamentally different concepts about addiction and its treatment, specific competencies of the staff and a corresponding portfolio of interventions within the treatment facilities.

Research limitations/implications

Future research should focus more on patients’ goal preferences and their impact on their willingness to take up treatment and its outcomes.

Practical implications

To implement OTAT treatment, institutions have to undergo a systematic process of team and organizational development.

Social implications

OTAT has the potential to reduce the treatment gap and to serve severely addicted individuals in a more comprehensive way.

Originality/value

The OTAT approach has not been described in the addiction treatment literature so far.

Reciprocal influences of tobacco use on illicit opioid and alcohol use during the first six-months of specialist addiction treatment

BACKGROUND

This is the first national study of lagged reciprocal associations between tobacco smoking frequency and change in illicit opioid or alcohol use frequency within six-months of treatment.

METHODS

All adults admitted to publicly-funded specialist addiction treatment in England in 2018/19 and enrolled for at least six months for either opioid use disorder (OUD; n = 22,046; 82.4 % of those eligible) or alcohol use disorder (AUD; n = 15,251; 78.8 % of those eligible). Two cross-lagged panel models estimated, separately for OUD and AUD patients, the relationships between smoking at admission and change in main drug over six months, and between main drug use at admission and change in smoking over six months.

RESULTS

Within the OUD cohort, illicit opioid use frequency reduced from 17.7 days to 8.0 days and smoking tobacco remained at 18.8 days. After controlling for available covariates, higher smoking frequency at admission was associated with a relative increase in illicit opioid use at six-months (0.02 days [95 % CI 0.00-0.03]). Within the AUD cohort, alcohol use frequency reduced from 21.2 days to 14.4 days while smoking tobacco reduced from 12.6 days to 11.5 days. Higher smoking frequency at admission was associated with a relative increase in alcohol use at six-months (0.03 days [95 % CI 0.02-0.04]) and higher alcohol use frequency at admission was associated with a relative increase in smoking at six-months (0.04 [95 % CI 0.02-0.06]), controlling for available covariates.

CONCLUSIONS

Higher smoking frequency at admission is associated with higher illicit opioid and alcohol use frequency after six-months of specialist addiction treatment.

Safety and Efficacy of Varenicline for Smoking Cessation in Alcohol-Dependent Smokers in Concurrent Treatment for Alcohol Use Disorder: A Pilot, Randomized Placebo-Controlled Trial

BACKGROUND

Smoking prevalence among those with alcohol dependence is much higher than the general population. Despite this, cessation treatment in those with concurrent alcohol dependence is seldom undertaken. We conducted a randomized, placebo-controlled, double-blind pilot study, whereby patients enrolled at an addiction treatment facility in downtown Toronto, Canada, were recruited and assigned to placebo or varenicline treatment for 12 weeks. We hypothesized that varenicline would be a safe and efficacious treatment for tobacco dependence in this population.

METHODS

Daily dependent smokers in treatment for alcohol dependence and interested in participating in the study were first screened over the phone and then assessed in-person. If eligible, they were randomly assigned to placebo or varenicline in a double-blind fashion. They attended weekly appointments for smoking cessation counseling and completed daily diaries for the full 12 weeks of treatment.

RESULTS

Thirty-one subjects were randomized to either varenicline (n = 16) or placebo treatment (n = 15). Participants were predominantly male (73.3%) with a mean age of 44.6 (23-66). Only one subject in the placebo group was quit by end of treatment (7-day point prevalence abstinence), compared with 7 in the varenicline group (χ(1) = 5.56, P = 0.037). Both groups had a significant decline in cigarettes per day (CPD) by end of treatment (varenicline = 22.1 ± 13.3 to 2.0 ± 3.0 CPD, t(10) = 4.45, P = 0.001; placebo: 14.9 ± 4.4 to 5.3 ± 6.3 CPD, t(13) = 3.61, P = 0.003).

CONCLUSIONS

The results from this pilot study indicate that varenicline is a safe and effective treatment for tobacco dependence in a sample of alcohol-dependent smokers undergoing concurrent treatment for alcohol use disorder.

Association of Cigarette Use and Substance Use Disorders among US Adults with and without a Recent Diagnosis of Cancer

Background: Few studies have examined substance use disorders (SUDs) in cancer patients and it is unclear whether SUDs differentially impact cigarette smoking in patients with vs. without cancer. This study used epidemiological data to estimate current cigarette smoking prevalence and quit ratios among US adults with and without SUDs by cancer status. Methods: Data were drawn from the 2015–2018 National Survey on Drug Use and Health (n = 170,111). Weighted current smoking prevalence and quit ratios were estimated across survey years by SUDs (with vs. without) and by cancer status (with vs. without). Results: Among those with cancer, current smoking prevalence was higher for those with vs. without SUDs (47% vs. 13%, p < 0.001) and quit ratios lower for those with vs. without SUDs (45% vs. 71%, p = 0.002). A similar pattern was observed in adults without cancer, with higher smoking prevalence (56% vs. 21%, p < 0.001) and lower quit ratios (23% vs. 51%, p < 0.001) observed for those with vs. without SUDs, respectively. In adjusted logistic regressions, the SUD × cancer status interaction was not significant for smoking prevalence or quit ratios (AOR = 1.2; 95% CI: 0.7, 2.1, p = 0.56; AOR = 1.0; 95% CI: 0.5, 2.0, p = 0.91, respectively), though smoking prevalence was lower and quit ratios higher for adults with vs. without cancer (ps < 0.05). Conclusions: Among US adults with and without cancer, individuals with SUDs evidenced higher cigarette smoking and lower quit ratios than those without SUDs. Addressing SUDs and their impact on smoking cessation is critical in cancer patients with implications for improving health and treatment outcomes.