REDESIGNING JUVENILE PROBATION TO ALIGN WITH BEHAVIORAL HEALTH AND POSITIVE DEVELOPMENT PRINCIPLEs: A Quasi-Experimental study.

Science advisory boards and policy organizations have called for adolescent brain science to be incorporated into juvenile probation operations. To achieve this, Opportunity-Based Probation (OBP), a probation model that integrates knowledge of adolescent development and behavior change principles, was developed in collaboration with a local juvenile probation department. The current study compares outcomes (recidivism and probation violations) for youth in the OBP condition versus probation as usual. Inverse probability weighting (IPW) and coarsened exact matching (CEM) were used to estimate causal effects of OBP's average treatment effect (ATE). Results indicated clear effects of OBP on reducing criminal legal referrals, but no significant effects were observed for probation violations. Overall, results provide promising recidivism-reduction effects in support of developmentally grounded redesigns of juvenile probation.

Racial disparities in youth pretrial detention: a retrospective cohort study grounded in critical race theory.

BACKGROUND AND METHOD: Pretrial detention makes up 75% of juvenile detention admissions and contributes to the disproportionate contact of minoritized youth in the juvenile carceral system. Given that prior evidence largely examines differences between Black and white youth, this study expands research on disproportionate contact in the pretrial detention setting to Hispanic/Latinx, Indigenous, and Asian youth. With a sample of over 44,000 juvenile cases in a northwest state, we used a generalized linear mixed model to estimate the effect of individual level characteristics while accounting for the random effect of differences at the county level. Additionally, we utilized Critical Race Theory (CRT) in formulating our theoretical model and predictions and apply CRT in our analysis and discussion of our results. In doing so we hope to build upon its application in public health discourse for naming and deconstructing processes that lead to unjust social and health stratification. RESULTS: After factoring in gender, age, crime severity, previous offenses, and variation between counties, our analyses show that Black, Hispanic/Latinx, and American Indian/Alaskan Native youth are more likely to experience pretrial detention than white youth. The likelihood of pretrial detention for Asian youth and for youth identified as "Other" or "Unknown" was not significantly different from white youth. CONCLUSIONS: As the iatrogenic effects of detention are disproportionately imposed upon youth of color-particularly Black, Indigenous, and Hispanic/Latinx youth-the disparities present in our study reveal further evidence of institutional racism. In this way, we can see how this carceral process operates as a mechanism of racialized social stratification as put forth by CRT. Considering implications for policy or further research, persistent disparity highlights an enduring need for building or strengthening diversion programs and alternatives to the carceral system, with emphasis on those that are culturally responsive.

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.

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.

Accelerating the conceptual use of behavioral health research in juvenile court decision-making: study protocol.

BACKGROUND: The youth criminal-legal system is under heavy political scrutiny with multiple calls for significant transformation. Leaders within the system are faced with rethinking traditional models and are likely to benefit from behavioral health research evidence as they redesign systems. Little is known about how juvenile court systems access and use behavioral health research evidence; further, the field lacks a validated survey measure of behavioral health research use that can be used to evaluate the effectiveness of evidence dissemination interventions for policy and system leaders. Conceptual research use is a particularly salient construct for system reform as it describes the process of shifting awareness and the consideration of new frameworks for action. A tool designed to measure the conceptual use of behavioral health research would advance the field's ability to develop effective models of research evidence dissemination, including collaborative planning models to support the use of behavioral health research in reforms of the criminal-legal system. METHODS: The ARC Study is a longitudinal, cohort and measurement validation study. It will proceed in two phases. The first phase will focus on measure development using established methods of construct validity (theoretical review, Delphi methods for expert review, cognitive interviewing). The second phase will involve gathering responses from the developed survey to examine scale psychometrics using Rasch analyses, change sensitivity analyses, and associations between research use exposure and conceptual research use among juvenile court leaders. We will recruit juvenile court leaders (judges, administrators, managers, supervisors) from 80 juvenile court jurisdictions with an anticipated sample size of n = 520 respondents. DISCUSSION: The study will introduce a new measurement tool for the field that will advance implementation science methods for the study of behavioral health research evidence use in complex policy and decision-making interventions. To date, there are few validated survey measures of conceptual research use and no measures that are validated for measuring change in conceptual frameworks over time among agency leaders. While the study is most directly related to leaders in the youth criminal-legal system, the findings are expected to be informative for research focused on leadership and decision-making in diverse fields.

Perceived reward from using cigarettes with alcohol or cannabis and concurrent use: A smartphone-based daily diary study.

INTRODUCTION: Smoking cigarettes under the influence of alcohol or cannabis is associated with perceived pleasure. However, it is unclear whether these changes in perceived reward impact the extent of concurrent use of cigarettes with alcohol or cannabis. The current study investigated if self-reported changes in perceived reward from concurrent use of cigarettes with alcohol or cannabis are related to the extent of concurrent use in real-world contexts using a smartphone-based Ecological Momentary Assessment (EMA) study. METHODS: The sample included 126 diverse young adult smokers in the San Francisco Bay Area who reported current alcohol or cannabis use at baseline (M = 22.8 years, 50.8% male, 40.5% sexual minority, 39.7% Non-Hispanic White). Participants completed an online baseline survey and 30 days of smartphone-based daily EMA surveys of cigarette, alcohol, and cannabis use. The baseline assessed self-reported changes in perceived pleasure of smoking cigarettes while using alcohol or cannabis separately. EMA surveys included detailed questions about concurrent use (i.e., the extent of smoking while using another substance) covering the previous day. A total of 2,600 daily assessments were analyzed using mixed models. RESULTS: Higher perceived pleasure from smoking cigarettes while drinking alcohol or using cannabis at baseline were both associated with a greater extent of concurrent use of cigarettes with alcohol (b = 0.140; SE = 0.066; t = 2.1; p = .035) and cannabis (b = 0.136; SE = 0.058; t = 2.4; p = .019) on a given day. CONCLUSIONS: Results suggest that perceived reward from concurrently using cigarettes with alcohol or cannabis is associated with the extent of concurrent use. Findings can inform tailored smoking cessation interventions.

Correlates of lifetime blunt/spliff use among cigarette smokers in substance use disorders treatment.

BACKGROUND: Co-use of tobacco and cannabis has been associated with greater dependence on and lower quit rates for both substances. Tobacco/cannabis co-use among individuals with substance use disorders (SUDs), a population with high rates of cigarette smoking, may hinder the effectiveness of smoking cessation interventions. We examined rates of lifetime (i.e., ever vs. never) cannabis use among current cigarette smokers in SUD treatment, and we identified the subgroup who had used tobacco and cannabis together in the form of blunts and/or spliffs. We then examined variables associated with lifetime use of blunts and/or spliffs. METHODS: We surveyed 562 clients in 20 residential SUD treatment programs in California, USA, in 2019. Measures included demographics, lifetime use of any cannabis product, lifetime use of blunt/spliffs, patterns of tobacco use, and smoking cessation-related questions. We asked current cigarette smokers who also reported lifetime cannabis use whether they had ever used blunts and/or spliffs. We then assessed relationships of demographic, tobacco use, use of cannabis/tetrahydrocannabinol (THC) in e-cigarettes/vape pens, and smoking cessation-related variables with ever use versus never use of blunts/spliffs. RESULTS: Among 340 current cigarette smokers, 93.2% (n = 317) reported lifetime use of any cannabis product. Among current cigarette smokers with lifetime cannabis use, 64.4% reported lifetime blunt/spliff use. Compared to those who had never used blunts/spliffs, lifetime blunt/spliff users were more likely to be younger (OR = 0.93, 95% CI 0.90-0.95), more likely to report lifetime use of cigars/cigarillos (OR = 2.95, CI 1.37-6.32), and to have ever used cannabis/THC in e-cigarettes/vape pens (OR = 4.26, CI 1.54-11.80). They were less often ready to quit smoking within 30 days (OR = 0.37, CI 0.23-0.60), but more likely to want help with smoking cessation (OR = 2.39, CI 1.52-3.77). CONCLUSION: Current cigarette smokers in SUD treatment reported a high prevalence of lifetime cannabis use. Smokers with a history of blunt/spliff use were more likely to report lifetime use of e-cigarettes/vape pens for cannabis/THC delivery. They wanted help to quit smoking, but felt less prepared to quit in the next 30 days. Cannabis co-use may warrant clinicians' attention when providing smoking cessation interventions during SUD treatment.

Recent cessation attempts and receipt of cessation services among a diverse primary care population - A mixed methods study.

Smoking rates are high among low-income populations who seek care in safety-net clinics. While most safety-net clinics screen for cigarette smoking, there are substantial disparities in the delivery of smoking cessation counseling in these systems. We conducted a mixed method study between July 2016 and April 2017 to examine receipt of smoking cessation counseling and estimate recent cessation attempts among primary care patients in four safety-net clinics in San Francisco. We used the electronic health record (EHR) to examine receipt of cessation services and estimate cessation attempts, defined as transition from current to former smoking status during the 9-month study period. We conducted interviews with 10 staff and 16 patients to assess barriers to and facilitators of providing cessation services. Of the 3301 smokers identified via EHR, the majority (95.6%) received some type of cessation counseling during at least one clinical encounter, and 17.6% made a recent cessation attempt. Recent smoking cessation attempts and receipt of smoking cessation services differed significantly by clinic after adjusting for demographic factors. We identified patient and staff-level pre-disposing, reinforcing and enabling factors to increase delivery of cessation care, including increasing access to cessation medications and higher intensity counseling using a team-based approach. The EHR presents a useful tool to monitor patients' recent cessation attempts and access to cessation care. Combining EHR data with qualitative methods can help guide and streamline interventions to improve quality of cessation care and promote quit attempts among patients in safety-net settings.

Sex Differences in Graphic Warning Label Ratings by Addictions Clients.

OBJECTIVES: Research on sex differences in responses to cigarette graphic warning labels (GWLs) has been limited despite tobacco-related, health disparities for women. We examined whether women had stronger responses to certain labels than to others, whether this pattern differed from men's, and whether there were overall sex ratings differences. METHODS: Smokers (N = 881) in 24, addictions treatment programs rated 3 of 9 Food and Drug Administration-developed labels on credibility, message reactance, quit motivation, and negative emotions. Participants rated one label depicting a woman and/or baby, and 2 depicting tobacco-related disease or male images. RESULTS: Women's (n = 432) ratings of labels depicting women/babies versus other labels did not differ from men's (n = 449) ratings. Women had higher ratings than men across all labels combined on credibility (p < .001), quit motivation (p = .007), and negative emotions (p < .001). Individual labels were analyzed for sex differences. Women's ratings were higher on credibility for 3 of 9 labels, and on negative emotions for 7 of 9 labels. CONCLUSIONS: Female smokers in addictions treatment had generally stronger responses to GWLs than men, supporting GWL implementation in the United States to help close the sex gap in smoking cessation.

Young adults report increased pleasure from using e-cigarettes and smoking tobacco cigarettes when drinking alcohol.

BACKGROUND: Cigarettes share a high rate of co-use with alcohol, particularly among young adults. Studies have demonstrated greater perceived pleasure from smoking cigarettes when drinking alcohol. However, little is known about co-use of electronic cigarettes (e-cigs) and alcohol. The current study sought to compare extent of use and perceived pleasure from cigarettes and e-cigs when drinking alcohol. METHODS: Young adult bar patrons in California cities (San Diego, Los Angeles, and San Francisco) were recruited in 2015-16 using randomized time-location sampling. Participants completed cross-sectional surveys in bars, reporting the percent of cigarette smoking/e-cig use that occurred under the influence of alcohol, and reported if pleasure from smoking cigarettes/using e-cigs changed when drinking alcohol. Analyses are limited to participants reporting current (past 30-day) use of cigarettes, e-cigs, and alcohol (N = 269; M age = 24.1; 40.1% female, 36.1% Non-Hispanic White). RESULTS: Participants reported a greater percentage of cigarette smoking compared to e-cig use under the influence of alcohol (cigarettes M = 63.6%; e-cigs M = 46.7%; p < .001). Participants also reported increased pleasure both from smoking cigarettes (M = 3.9; [compared to midpoint of scale 3 - "no change"] p < .001) and using e-cigs (M = 3.3; p < .001) when drinking alcohol. The increase in pleasure was more pronounced for cigarettes compared to e-cigs (p < .001). CONCLUSIONS: Drinking alcohol is associated with increases in perceived rewarding effects of both cigarettes and e-cigs and thus may increase their abuse liability. This effect may be stronger for cigarettes, which could be an important barrier to switching completely from smoking cigarettes to using e-cigs, or quitting both entirely.

Smoking related outcomes before and after implementation of tobacco-free grounds in residential substance use disorder treatment programs.

BACKGROUND: This study examined the impact of a tobacco-free grounds (TFG) policy and the California $2.00/pack tobacco tax increase on tobacco use among individuals in residential substance use disorder (SUD) treatment. METHODS: We conducted three cross-sectional surveys of clients enrolled in three residential SUD treatment programs. Wave 1 (Pre-TFG) included 190 clients, wave 2 (post-TFG and pre-tax increase) included 200 clients, and wave 3 (post-tax increase) included 201 clients. Demographic and tobacco-use characteristics were first compared between waves using bivariate comparisons. Regression models were used to compare each outcome with survey wave as the predictor, while adjusting for demographic characteristics and nesting of participants within programs. RESULTS: Odds of clients being current smokers was lower (AOR = 0.43, 95%CI = 0.30,0.60) after implementation of TFG compared to baseline. Adjusted mean ratio (AMR) for cigarettes per day was lower post-TFG compared to baseline (AMR = 0.70, CI = 0.59, 0.83). There were no differences, across waves, in tobacco-related knowledge, attitudes, or services received by program clients, or use of nicotine replacement therapy. Increased cigarette taxation was not associated with reductions in client smoking. CONCLUSION: Implementation of a TFG policy was associated with a lower prevalence of client smoking among individuals in residential SUD treatment. Increased state cigarette excise taxes were not associated with a further reduction in client smoking in the presence of TFG policies, though this may have been confounded by relaxing of the TFG policy. SUD treatment programs should promote TFG policies and increase tobacco cessation services for clients.

Tobacco Cessation Services in Addiction Treatment: What Do Clients Say?

OBJECTIVE: Specialty addiction programs treat people who are addicted to alcohol, opioids, stimulants, and other drugs. This study identified the proportion of addiction program clients who received tobacco-related services and factors associated with receipt of such services. METHODS: In 2015 and 2016, clients (N=2,119) in 24 programs were surveyed for receipt of services aligning with three of the five As of tobacco cessation: ask, advise, assist. Multivariate analyses examined factors associated with receipt of each service. RESULTS: Most clients (76%) were asked about smoking. Among smokers (N=1,630), 53% were advised to quit, 41% received counseling, 26% received cessation medication, and 17% received counseling and medication. Clients were more likely to receive tobacco-related services if they wanted help quitting smoking or were enrolled in programs with tobacco-free grounds. CONCLUSIONS: These correlational findings suggest that increasing client motivation to quit and implementing tobacco-free policies on the grounds of treatment centers may increase tobacco-related services in addiction treatment.

Health risk perceptions and reasons for use of tobacco products among clients in addictions treatment.

INTRODUCTION: We examined rates of use, health risk perceptions and reasons for use of combustible and non-combustible tobacco products among clients enrolled in addictions treatment across the United States. METHODS: Participants (N = 1153) completed tobacco use surveys and rated health risk perception of all products. Users of non-cigarette products reported their main reason for use of each product. Logistic regression analyses examined associations between health risk perceptions and product use, including combustible cigarette use, and between reasons for use and non-cigarette product use. RESULTS: Cigarette smoking was reported by 77.5%, followed by use of e-cigarettes (26.6%), little filtered cigars (LFCs)/cigarillos (15.4%), smokeless tobacco (11.4%), and cigars (8.4%). Lower perceived health risk of cigarettes was associated with smoking cigarettes (OR = 0.985, 95% CI: 0.975-0.995, p = 0.005). Lower perceived health risk of e-cigarettes was associated with e-cigarette use (OR = 0.991, 95% CI: 0.984-0.998, p = 0.023). Users of cigars and users of LFC/cigarillos (versus other product use) were more likely to report their main reason for use as "enjoying flavor/ taste", and smokeless tobacco users were more likely to report "at times when can't smoke" as their main reason for use compared with other reasons. E-cigarette users were more likely to report to "reduce/quit cigarettes" as their main reason for use as compared to all other reasons except "reduce health risk". CONCLUSION: Treating smoking in addictions treatment should assess all tobacco product use, accuracy of health risk perceptions, and use of e-cigarettes to reduce/quit smoking, in order to promote cessation of combustible tobacco.

Differences in tobacco use prevalence, behaviors, and cessation services by race/ethnicity: A survey of persons in addiction treatment.

BACKGROUND: Disparities in tobacco use prevalence, behaviors, and services have been identified among people of different racial and ethnic groups in the United States general population. Persons in addiction treatment have among the highest smoking prevalence of any population. However, little is known about racial and ethnic disparities in tobacco use prevalence, behaviors, and services among persons in addiction treatment. METHODS: Survey data were used from 1840 clients from 24 addiction treatment programs from the NIDA Clinical Trials Network. Multivariate regression analyses were conducted to assess associations between race/ethnicity (White, African American, Hispanic) and patterns of tobacco and other tobacco product use, as well as quitting behaviors and receipt of tobacco cessation services among current smokers (n = 1425) while in treatment. RESULTS: There was no difference in cigarette smoking prevalence across racial/ethnic groups. In the multivariate models, Hispanics and African Americans, compared to Whites, were less likely to be daily smokers, use smokeless tobacco, or use e-cigarettes. African Americans and Hispanics reported more past-year quit attempts and higher use of menthol compared to Whites. Hispanics were more interested in quitting while in treatment than Whites. Contrary to expectations, African Americans reported receiving more tobacco cessation advice and services while in treatment than Whites. CONCLUSIONS: Some findings reflected broader population patterns (e.g., tobacco use behaviors, other tobacco product use), while others did not (e.g., no difference in tobacco use prevalence by race/ethnicity). The reasons for greater receipt of cessation services among African Americans are unclear. Findings indicate the need for continued engagement of African Americans and Hispanics in cessation services while in addiction treatment, and for addressing heavier tobacco use and lack of interest in cessation during treatment among White clients.

Menthol cigarette smoking among individuals in treatment for substance use disorders.

There are higher rates of menthol cigarette smoking within certain population subgroups. Limited research has examined menthol use among individuals in treatment for substance use disorders (SUD), a population with a high prevalence of cigarette smoking, poor smoking cessation outcomes, and high tobacco disease burden. Survey data were collected from 863 smokers sampled from 24 SUD treatment programs affiliated with the NIDA Clinical Trials Network (CTN) in the United States. Prevalence of menthol cigarette smoking was examined for the sample. Bivariate and multivariate analyses were used to examine demographic and tobacco use characteristics associated with menthol cigarette smoking. Overall, the prevalence of menthol smoking among individuals in SUD treatment was 53.3%. Smoking menthol versus non-menthol cigarettes was associated with being female (AOR=1.61, p=0.003), African American (AOR=7.89, p<0.001), Hispanic/Latino (AOR=3.39, p<0.001), and lower odds of having a college degree (AOR=0.49, p=0.015). Controlling for demographic factors, menthol smokers were more likely to report marijuana (AOR=3.33, p<0.007) as their primary drug compared to alcohol. Lastly, menthol smokers were more likely to report interest in getting help for quitting smoking (AOR=1.53, p=0.01), although they were not more likely to report making a past year quit attempt. In conclusion, use of menthol cigarettes was higher among smokers in SUD treatment than in general population smokers. Regulatory policies targeting the manufacture, marketing, or sale of menthol cigarettes may benefit vulnerable populations, including smokers in SUD treatment.

Young adults report increased pleasure from smoking cigarettes when drinking alcohol but not when using marijuana.

BACKGROUND: Among young adults, cigarette smoking is strongly associated with alcohol and marijuana use. The present study compared self-reported co-use of cigarettes and alcohol versus cigarettes and marijuana among young adults using cross-sectional survey data. METHODS: Participants were young adult cigarette smokers (age 18 to 25) who also reported past month alcohol or marijuana use enrolled in a randomized trial testing a smoking cessation intervention on Facebook. Participants self-reported extent of cigarette smoking under the influence of alcohol or marijuana and differences in perceived pleasure from cigarette smoking when drinking alcohol compared to using marijuana. RESULTS: Among cigarette smokers who drank alcohol and used marijuana in the past month (n=200), a similar percentage of cigarettes were smoked under the influence of alcohol (42.4%±31.2%) and marijuana (43.1% ±30.0%). Among alcohol + marijuana users, perceived pleasure from smoking cigarettes was significantly greater when drinking alcohol versus when using marijuana (t(199)=7.05, p<0.001). There was, on average, an increase in perceived pleasure from smoking cigarettes when drinking alcohol, though perceived pleasure did not differ by binge drinking frequency. In contrast, there was on average no change in perceived pleasure from smoking cigarettes when using marijuana. Results from the cigarette smokers who used alcohol + marijuana were similar to cigarette smokers who only used alcohol (n=158) or only used marijuana (n=54). CONCLUSION: Findings highlight greater perceived reward from smoking cigarettes when drinking alcohol compared to when using marijuana, informing smoking cessation interventions that target users of multiple substances.

A Comparison of Daily Versus Weekly Electronic Cigarette Users in Treatment for Substance Abuse.

Objective: This research examined electronic cigarette (e-cigarette) use by individuals in treatment for substance abuse, a population with a high prevalence of tobacco use and poor smoking cessation outcomes. Methods: We surveyed 1127 individuals from 24 substance abuse treatment centers across the United States. Bivariate analyses and logistic regression were used to examine factors associated with daily (N = 87) versus weekly (N = 81) e-cigarette use. Results: Among the full sample, 59.8% reported any lifetime use of e-cigarettes, with 23.6% reporting past 30-day use. Daily e-cigarette users were more likely to have used second-generation, tank-type e-cigarettes, χ2(1,N = 165) = 11.54, p = .001, used more flavors overall, t(168) = 2.15, p = .03, and were more likely to report using their e-cigarette continuously throughout the day, χ2(4,N = 168) = 16.7, p = .002, compared to weekly e-cigarette users. Over half (57.7%) of the daily and weekly e-cigarette users reported having an e-cigarette device that broke. The logistic regression model adjusting for clinic type and days with poor mental health found that daily e-cigarette users were significantly more likely than weekly e-cigarette users to be from methadone clinics (adjusted odds ratio [AOR] = 2.40, p = .04), and former smokers (AOR = 6.37, p < .002). Conclusions: Daily e-cigarette users in substance abuse treatment were more likely to be from methadone clinics and former cigarette smokers. However, the majority (73.6%) of daily e-cigarette users were current cigarette smokers. E-cigarette device type reliability (eg, breakage) may be an important factor to consider among drug treatment and other populations with lower socioeconomic status. Implications: This study found several differences in the device type, flavors, and use characteristics of daily versus weekly e-cigarette users. While majority of e-cigarette users in substance abuse treatment were current cigarette smokers, daily e-cigarette users were more likely to be former cigarette smokers. Administrators of substance abuse treatment programs should evaluate potential benefits and harms of e-cigarettes when developing program policies.

Smoking-related outcomes and associations with tobacco-free policy in addiction treatment, 2015-2016.

OBJECTIVE: This study assessed changes in smoking-related outcomes in two cross-sectional samples of clients enrolled in addiction treatment and whether tobacco-free grounds policies were associated with smoking-related outcomes. METHOD: Clients in 25 programs were surveyed in 2015 (N=1176) and 2016 (N=1055). The samples were compared on smoking prevalence, cigarettes per day (CPD), thinking of quitting, past year quit attempts, staff and clients smoking together, attitudes towards quitting, and tobacco-related services. Second, programs with (n=6) and without (n=17) tobacco-free grounds at both time points were compared on smoking-related outcomes. Last, we examined changes in these measures for two programs that adopted tobacco-free grounds between 2015 and 2016. RESULTS: There was one difference across years, such that the mean score for the tobacco Program Service scale increased from 2.37 to 2.48 (p=0.043, effect size=0.02). In programs with tobacco-free grounds policies, compared to those without, both CPD and the rate of staff and clients smoking together were significantly lower. In the two programs where tobacco-free grounds were implemented during study years, client smoking prevalence decreased (92.5% v. 67.6%, p=0.005), the rate of staff and clients smoking together decreased (35.6% v. 4.2%, p=0.031), mean CPD decreased (10.62v. 8.24, p<0.001) and mean tobacco services received by clients increased (2.08v. 3.05, p<0.001). CONCLUSION: Addiction treatment programs, and agencies responsible for licensing, regulating and funding these programs, should implement tobacco-free grounds policies.

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

BACKGROUND: Individual differences in the rate of nicotine metabolism contribute to differences in tobacco use, dependence, and efficacy of smoking cessation treatments and can be assessed using the nicotine metabolite ratio (NMR), a validated biomarker for CYP2A6 activity. Despite the high cigarette smoking rates observed in opioid users, no data have been reported on NMR among this population as they has been largely excluded from previous studies that have examined the relationship between tobacco use characteristics and rate of nicotine metabolism. METHODS: A linear regression model was used to examine the relationship between tobacco use characteristics and NMR among smokers taking buprenorphine for opioid dependency (N=141). The relationship between buprenorphine dose and NMR was also examined. All participants were enrolled in an intervention designed to promote cigarette-smoking cessation, though participants did not need to stop smoking to enroll. RESULTS AND CONCLUSIONS: Rate of nicotine metabolism assessed using the NMR was positively associated with cigarettes smoked in the past 24h, but was not related to time to first cigarette or past year quit attempts. Dose of buprenorphine was not associated with NMR, suggesting no association with rate of nicotine metabolism. Our results suggest that NMR is related to tobacco use among persons enrolled in opioid treatment, as reported in general population smokers and may be a useful biomarker to include in future research assessing efficacy of tobacco cessation interventions in this population.

Use of multiple tobacco products in a national sample of persons enrolled in addiction treatment.

OBJECTIVE: To explore use of tobacco products in relationship to marketing exposure among persons in addiction treatment. METHOD: A random sample of treatment programs was drawn from the National Institute on Drug Abuse (NIDA) Clinical Trials Network (CTN). Participants in each program completed surveys concerning use of tobacco products (N=1113). Exposure to tobacco marketing and counter-marketing, advertising receptivity, and perceived health risks of smoking were tested for their association with use of multiple tobacco products. RESULTS: Prevalence of combustible cigarette use was 77.9%. Weekly or greater use of other products was: e-cigarettes (17.7%), little filtered cigars (8.6%), smokeless tobacco (5.2%), and standard cigars (4.6%) with 24.4% using multiple tobacco products. Compared to single product users, multiple product users smoked more cigarettes per day (OR=1.03, 95% CI 1.01-1.05, p<0.001), were more likely to have tried to quit (OR=1.41, 95% CI 1.02-1.96, p=0.041), reported greater daily exposure to advertising for products other than combustible cigarettes (OR=1.93, CI 1.35-2.75, p<0.001), and greater daily exposure to tobacco counter-marketing (OR=1.70, 95% CI: 1.09-2.63, p=0.019). CONCLUSION: Heavier smokers and those trying to quit may be more likely to use e-cigarettes, little filtered cigars, or smokeless tobacco and have greater susceptibility to their advertising. This highlights the importance of regulating advertising related to smoking cessation as their effectiveness for this purpose has not been demonstrated.