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.

Lifetime use of non-nicotine drugs in electronic cigarette devices among a sample of individuals in substance use disorder treatment.

Background: Limited data are available on other substance use in e-cigarettes (OSUE). The aim of this research was to determine the prevalence and predictors of OSUE among a sample of individuals in substance use disorder (SUD) treatment. Methods: In 2019, we surveyed 553 individuals from 18 residential SUD treatment programs in California, USA. Individuals reporting any lifetime use of an e-cigarette containing nicotine (n = 279) were asked about ever use of drugs other than nicotine in their e-cigarette. Those who reported use of non-nicotine drugs in their e-cigarette also reported what psychoactive drugs were used. Results: Among all the participants, 25 % (n = 139) . reported ever engaging in OSUE. The most common drugs used in vaping devices were marijuana/THC/hash, (70.5 %, n = 98) and amphetamines/methamphetamine (51.1 %, n = 71). Among those who had engaged in OSUE, 44.6 % (n = 62) had vaped drugs for which they sought treatment. Older persons (OR = 0.93, CI 0.91, 0.95) and African Americans (OR = 0.48, CI 0.24, 0.94) were less likely to have ever engaged in OSUE, while persons in treatment for opioid use were more likely (OR = 1.71, CI 1.08, 2.71). Conclusion: Among a sample of clients in SUD treatment, about 25% had ever engaged in OSUE, with THC/marijuana and amphetamines most commonly reported. Further research is needed to evaluate the OSUE to understand the reasons for use and implications among persons enrolled in SUD treatment.

Implementing tobacco-free policy in residential substance use disorders treatment: Practice changes among staff.

Introduction: Implementing tobacco-free policies in substance use disorders (SUD) treatment may reduce tobacco-related, health disparities. This study examined adoption of tobacco-related policy and practices in six residential programs participating in a California-sponsored, 18-month, tobacco-free policy intervention. Methods: Directors (N=6) completed surveys of tobacco-related policies before and after the intervention. Staff completed cross-sectional surveys assessing tobacco-related training, beliefs, practices, workplace smoking policy, tobacco cessation program services, and smoking status pre- (n=135) and post-intervention (n=144). Results: Director surveys indicated no programs had tobacco-free grounds, one provided tobacco-related staff training, and two provided nicotine replacement therapy (NRT) pre-intervention. At post-intervention, 5 programs had implemented tobacco-free grounds, 6 provided tobacco cessation training, and 3 provided NRT. Across all programs, staff were more likely to report smoke-free workplaces (AOR = 5.76, 95% CI1.14,29.18) post- versus pre-intervention. Staff positive beliefs towards addressing tobacco use were higher post-intervention (p<0.001). Odds of clinical staff reporting tobacco-related training participation (AOR = 19.63, 95% CI14.21,27.13) and program-level provision of NRT (AOR = 4.01, 95% CI 1.54, 10.43) increased post- versus pre-intervention. Clinical staff reporting they provided tobacco cessation services were also higher post-intervention (p= 0.045). There were no changes in smoking prevalence or quit intention among smoking staff. Conclusion: A tobacco-free policy intervention in SUD treatment was associated with implementation of tobacco-free grounds, tobacco-related training among staff, more positive staff beliefs towards and delivery of tobacco cessation services to clients. The model may be improved with greater emphasis on staff policy awareness, facilitating availability of NRT, and reducing staff smoking.

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.

Racial/Ethnic Differences in Tobacco Use and Cessation Services among Individuals in Substance Use Treatment.

Few studies explore racial/ethnic disparities in tobacco use and access to cessation services among people with substance use disorders (SUD). We collected data from Hispanics (n = 255), non-Hispanic Whites (n = 195), and non-Hispanic Blacks (n = 126) across 24 Californian residential SUD treatment programs. Data were analyzed via regression models adjusting for demographics, cigarettes per day, past quit attempts, intent to quit in the next 30 days, and physical health status. Non-Hispanic Whites smoked at a higher rate (68.7%) than both Hispanics (54.9%) and non-Hispanic Blacks (55.6%) and smoked more cigarettes per day (M = 11.2, SD = 6.5). Hispanics were more likely than non-Hispanic Whites to receive a referral to a cessation specialist (adjusted odds ratio; AOR = 2.34, 95% CI = 1.15, 4.78) and tobacco-cessation counseling (AOR = 2.68, 95% CI = 1.28, 5.62). Non-Hispanic Blacks were also more likely than non-Hispanic Whites to receive cessation counseling (AOR = 3.61, 95% CI = 1.01, 12.87) and NRT/pharmacotherapy (AOR = 2.65, 95% CI = 1.57, 4.47). Despite their decreased smoking prevalence and severity, REMs were accessing smoking cessation services while in treatment, suggesting that SUD treatment could serve as a place to address tobacco-related racial inequities.

Correlates of e-cigarette use for smoking cessation among clients in residential substance use disorder treatment.

Little is known about e-cigarette use among persons in substance use disorder (SUD) treatment, or their use of e-cigarettes for smoking cessation. Prevalence of e-cigarette use and correlates of e-cigarette use for smoking cessation were examined among clients in SUD treatment. Participants (n = 332) were current cigarette smokers recruited from 20 residential SUD programs in California. We used multivariable logistic regression to identify correlates of using e-cigarettes for quitting smoking. Almost half (45.2%) of the sample had ever used e-cigarettes for smoking cessation, and 34% had used e-cigarettes in the past 30 days. Smokers who had used e-cigarettes for smoking cessation, compared to those who had not, were younger (adjusted odds ratio [AOR] = 0.94, 95% confidence interval [CI] = 0.91, 0.96), had more than a high school education (AOR = 1.69, 95% CI = 1.07, 2.68), sought treatment for both SUD and mental health disorder (AOR = 2.62, 95% CI = 1.38, 5.00), wanted help quitting smoking (AOR = 1.90, 95% CI = 1.03, 3.50) and perceived e-cigarettes as equally harmful (AOR = 3.03, 95% CI = 1.10, 8.33) or less harmful than tobacco cigarettes (AOR = 2.82, 95% CI = 1.02, 7.77). Black/African American and Hispanic/Latino participants were less likely to use e-cigarettes for smoking cessation than participants who identify as White. E-cigarettes were favorably perceived by clients in residential SUD treatment as a quit smoking aid. Treatment programs should consider how to advise clients with respect to the use of e-cigarettes for smoking cessation.

Resilience to post-traumatic stress among World Trade Center survivors: A mixed-methods study.

The purpose of this study was to identify individual characteristics, behaviors, and psychosocial factors associated with symptoms of post-traumatic stress disorder (PTSD) among World Trade Center (WTC) disaster evacuation survivors. The study utilized a mixed-method design. In-depth interviews were conducted using a prepared script. PTSD was assessed using the PTSD checklist-civilian (PCL-C; a score ≥ 50 indicates probable PTSD). Thematic analysis was conducted to identify factors associated with PTSD. A purposive sample of 29 WTC evacuees was recruited using a multimodal recruitment strategy. Eligibility included: history of evacuation from the WTC (Tower 1 and/or Tower 2) on September 11, 2001, and decisional capacity for informed consent. Five participants had PCL-C scores ≥ 50. Thematic analysis identified resiliency factors (protective for PTSD), including leadership, taking action based on "gut" feelings (to evacuate), social support (staying in a group), going on "automatic survival" mode, and previous training on emergency response. Risk factors for PTSD included lack of emergency response training, lack of sense of urgency, poor physical condition, lack of communication skills, lack of direction, peri-event physical injury, peri-event traumatic exposure (horror), and moral injury (guilt and remorse). Several modifiable factors that may confer resilience were identified. In particular, the role of emergency response training in preventing disaster-related mental illness should be explored as a possible strategy for enhancing resilience to disaster events.