Tobacco-free grounds implementation in California residential substance use disorder (SUD) treatment programs

Gambling, tobacco use, and health among individuals in substance use disorder treatment

BACKGROUND AND OBJECTIVES

Gambling is highly comorbid with disordered use of tobacco and other drugs, and may increase relapse risk among substance use disorder (SUD) patients. We investigated associations between gambling and tobacco use behaviors among SUD patients to inform clinical care.

METHODS

Patients (N = 651, 170 female) from 25 residential SUD treatment programs in California completed surveys about tobacco use, health, and gambling. Using multivariate regression, we examined associations between gambling, tobacco use behaviors, and mental and physical health.

RESULTS

Past-year gamblers were more likely than non-gamblers to be current smokers (adjusted odds ratio [AOR] = 1.44, 95% confidence interval [CI] = 1.03, 2.01). Smokers who gambled had higher mean Heaviness of Smoking Index (HSI) scores (mean difference = +0.32, 95% CI = 0.04, 0.60), and more often reported smokeless tobacco use (AOR = 1.73, 95% CI = 1.16, 2.58), compared to non-gambling smokers. Past-year problem gamblers were more likely than all others (non-gamblers and non-problem gamblers) to be current smokers (AOR = 1.44, 95% CI = 1.08, 1.90) and to report high psychosocial stress (AOR = 1.87, 95% CI = 1.34, 2.61). Smokers with problem gambling also had higher HSI scores (mean difference = +0.54, 95% CI = 0.14, 0.95) compared to smokers without problem gambling.

DISCUSSION AND CONCLUSIONS

Gambling and problem gambling were associated with tobacco use and heavier smoking. SUD patients with gambling comorbidity may be heavier smokers and may need concurrent treatment for tobacco use and problem gambling.

SCIENTIFIC SIGNIFICANCE

This study provides novel data regarding gambling and tobacco use behaviors among SUD patients.

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.

A cluster-randomized trial of a brief multi-component intervention to improve tobacco outcomes in substance use treatment

BACKGROUND

Smoking prevalence is high among people in substance use disorder (SUD) treatment, and program interventions to address smoking are often complex and lengthy. This cluster-randomized trial tested whether a brief multi-component intervention impacted tobacco outcomes among staff and clients.

METHODS

Seven SUD treatment programs were randomly assigned to the multi-component intervention or to waitlist control. The 6-month intervention included a leadership motivation assessment, program incentives, 4 staff training sessions and a leadership learning community session. Survey data were collected from staff and clients at pre- and post-intervention. Outcomes were first compared across condition (intervention vs waitlist control), and then examined pre- to post-intervention with condition collapsed.

RESULTS

Staff in the intervention (n = 48) and control conditions (n = 26) did not differ at post-intervention on smoking prevalence, self-efficacy to help clients quit, or practices used to help clients quit smoking. Intervention clients (n = 113) did not differ from controls (n = 61) in smoking prevalence or receipt of tobacco services. Pre-post comparisons collapsed across condition showed a decrease in client and staff smoking prevalence, which could not be attributed to the intervention, and a decrease in client receipt of cessation medication.

CONCLUSION

The brief multi-component intervention did not support changes in smoking prevalence or in tobacco-related services received by clients. Other intervention features are needed to reduce smoking among SUD clients.

TRIAL REGISTRATION

Randomization occurred at the program level and outcomes measured are program-level measures. Accordingly, the trial is not registered.

Reducing tobacco use in substance use treatment: An intervention to promote tobacco-free grounds

BACKGROUND

People in substance use disorder (SUD) treatment experience disproportionate rates of tobacco use. California has prioritized smoking cessation among these individuals through the Tobacco-Free for Recovery Initiative, which includes an intervention aimed at supporting programs in implementing tobacco-free grounds. The current study examined changes in client smoking prevalence, tobacco use behaviors, and receipt of cessation services among the first seven programs participating in the initiative.

METHODS

Residential treatment program clients completed cross-sectional surveys at the start of the intervention (baseline: n = 249), at an interim timepoint post-baseline (interim: n = 275), and at the end of the intervention 15 months later (post-intervention: n = 219). All participants reported smoking status. Current smokers reported tobacco use behaviors, and both current smokers and those who quit in treatment reported receipt of cessation services. Univariate analyses explored differences across the three timepoints and multivariate logistic regression assessed change from baseline to interim and baseline to post-intervention.

RESULTS

Client smoking prevalence decreased from 54.2% at pre- to 26.6% at post-intervention (Adjusted Odds Ratio [AOR] = 0.25, 95% CI = 0.13, 0.45). Current smokers and those who quit while in treatment reported an increase in NRT/pharmacotherapy (11.9% vs. 25.2%; AOR = 3.02, CI = 1.24, 7.35). When comparing baseline to the interim timepoint (a timepoint before the COVID-19 pandemic), data analyses also demonstrated a significant decrease in smoking prevalence (54.2% vs. 41.8%; AOR = 0.62, CI = 0.42, 0.92) and increase in NRT/pharmacotherapy (11.9% vs. 24.5%; AOR = 3.68, CI = 1.11, 12.19).

CONCLUSION

An intervention to promote tobacco-free grounds implemented in residential SUD treatment programs was associated with a significant reduction in client smoking and an increase in NRT/pharmacotherapy. These associations were observed both before the COVID-19 pandemic and in the early stages of the pandemic, suggesting that they may be due to the intervention rather than to the pandemic.

Tobacco use among substance use disorder (SUD) treatment staff is associated with tobacco-related services received by clients

BACKGROUND

Despite disproportionately high rates of smoking among people in residential substance use disorder (SUD) treatment, few receive tobacco cessation services. Little is known about how smoking among treatment staff may impact this disparity. We explored the relationship between staff tobacco use and client tobacco use. Additionally, we examined the relationship between staff tobacco use and tobacco-related services reported by staff and clients.

METHODS

Staff (n = 363) and clients (n = 639) in 24 California publicly-funded residential SUD treatment programs were surveyed in 2019-20. Staff self-reported current tobacco use, as well as their beliefs, self-efficacy, and practices regarding smoking cessation. Clients reported their tobacco use and they services received while in treatment. Regression analyses examined the adjusted and unadjusted associations between staff and client tobacco use and other outcomes.

RESULTS

Use of any tobacco product by staff ranged from 0% to 100% by program, with an average of 32% across programs. Adjusted analyses found that higher rates of staff tobacco use were associated with higher rates of client tobacco use, and with fewer clients receiving tobacco-related counseling. In programs that had higher rates of staff tobacco use, staff were less likely to believe that clients should quit smoking in treatment and had lower self-efficacy to address smoking.

CONCLUSION

Higher rates of tobacco use among staff are associated with higher rates of client tobacco use and fewer clients receiving cessation counseling. Efforts to reduce tobacco use among SUD clients should be supported by efforts to reduce tobacco use among staff. SUD treatment programs, and agencies that fund and regulate those programs, should aim to reduce the use of tobacco products among staff.

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.

Organizational-Level Moderators Impacting Tobacco-Related Knowledge Change after Tobacco Education Training in Substance Use Treatment Centers

Tobacco use is disproportionately elevated among patients with substance use disorders relative to the general U.S. population. Tobacco interventions are lacking within substance use treatment centers (SUTCs) due to lack of knowledge and training. This study examined knowledge gain and the organizational factors that might moderate knowledge gains following tobacco education training provided to employees (N = 580) within 15 SUTCs that were participating in a tobacco-free workplace program. The number of total annual patient visits, unique annual patient visits, number of full-time employees, and organizational readiness for implementing change (ORIC) as assessed prior to implementation were examined as potential moderators. Results demonstrated significant knowledge gain (p < 0.001) after training overall; individually, 13 SUTCs had significant knowledge gain (p's < 0.014). SUTCs with fewer total annual patient visits and fewer full-time employees showed greater knowledge gains. The ORIC total score and all but one of its subscales (Resource Availability) moderated knowledge gain. SUTCs with greater initial Change Efficacy (p = 0.029), Valence (p = 0.027), and Commitment (p < 0.001) had greater knowledge gain than SUTCs with lower scores on these constructs; SUTCs with greater Task Knowledge (p < 0.001) regarding requirements for change exhibited less knowledge gain. Understanding the organizational-level factors impacting training effectiveness can inform efforts in organizational change and tobacco control program implementation.

Impacts of COVID-19 on residential treatment programs for substance use disorder

INTRODUCTION

The COVID-19 pandemic may present special challenges for residential substance use disorder (SUD) treatment facilities, which may lack infrastructure and support to implement infection control protocols while maintaining on-site treatment services. However, little is known about how residential SUD treatment programs are impacted by the COVID-19 pandemic.

METHODS

The research team conducted semi-structured interviews with 17 directors of 20 residential SUD treatment programs across California during the state's shelter-in-place order. The researchers then analyzed qualitative interview data thematically and coded them using ATLAS.ti software.

FINDINGS

Thematic analyses identified six major themes: program-level impacts, staff impacts, client impacts, use of telehealth, program needs, and positive effects. "Program-level impacts" were decreased revenue from diminished client censuses and insufficient resources to implement infection control measures. "Staff impacts" included layoffs, furloughs, and increased physical and emotional fatigue. "Client impacts" were delayed treatment initiation; receipt of fewer services while in treatment; lower retention; and economic and psychosocial barriers to community re-entry. "Use of telehealth" included technical and interpersonal challenges associated with telehealth visits. "Program needs" were personal protective equipment (PPE), stimulus funding, hazard pay, and consistent public health guidance. "Positive effects" of the pandemic response included increased attention to hygiene and health, telehealth expansion, operational improvements, and official recognition of SUD treatment as an essential health care service.

CONCLUSION

Study findings highlight COVID-related threats to the survival of residential SUD treatment programs; retention of the SUD treatment workforce; and clients' SUD treatment outcomes. These findings also identify opportunities to improve SUD service delivery and suggest avenues of support for residential SUD treatment facilities during and after the COVID-19 pandemic.

Tobacco use and tobacco services in California substance use treatment programs

BACKGROUND

California has one of the lowest smoking rates in the U.S. However, the California substance use disorder (SUD) treatment system collects no information on tobacco use. We explored smoking prevalence among persons enrolled in 20 residential SUD treatment programs, and whether persons who wanted help with quitting smoking received such help.

METHODS

Treatment program clients (N = 562) were surveyed about their smoking behavior and about tobacco-related services they received. Self-report smoking status was verified via expired carbon monoxide (CO) measurement. Multivariate analyses assessed whether clients who wanted help with quitting smoking received tobacco-related services (ask, advise, referral, counseling, pharmacotherapy) RESULTS: Using client self-report and expired CO, smoking prevalence in this sample was estimated at 68.9 %. Among smokers, mean cigarettes per day (CPD) was 9.7 (SD = 7.6), 58.8 % had made a quit attempt in the past year, 32.7 % were considering quitting smoking in the next 30 days, and 37.9 % wanted help with quitting. Clients who wanted help with quitting, compared to those not wanting help, were more likely to receive advice on how to quit, and tobacco-related counseling, referral, and pharmacotherapy.

CONCLUSION

In this study, wanting help with quitting was associated with receiving tobacco related services. Nonetheless, fewer than half of the smokers in SUD treatment wanted help with quitting, and many who wanted help did not receive it. Given the high prevalence of smoking, and associated consequences for both general health and SUD recovery, SUD treatment systems should ensure tobacco-related assessment and intervention for all smokers.