Scale-up of Global Child and Youth Mental Health Services: A Scoping Review.

Numerous influential policy and scientific bodies are calling for more rapid advances in the scale-up of child and youth mental health services (CYMHS). A number of CYMHS innovations hold promise for advancing scale-up but little is known about how real-world efforts are progressing. We conducted a scoping review to identify promising approaches to CYMHS scale-up across the globe. Searches were completed in six databases (Academic Search Complete, CINAHL, MEDLINE, PsychInfo, PubMed, and Web of Science). Article selection and synthesis were conducted in accordance to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) checklist. A second search focused on low-and-middle-income countries (LMIC) was conducted based on the Cochrane Library recommended search filters of the World Bank listed LMIC countries. Authors used a double coding strategy during the title/abstract and full-text review. Twenty-eight articles meeting the eligibility criteria were identified that described 22 initiatives (in 11 different countries). Our review found the majority of published scale-up studies in CYMHS were not informed by scale-up frameworks in design or reporting. The methods and outcomes used in the identified articles were highly variable and limited our ability to draw conclusions about comparative effectiveness although promising approaches emerged. Successes and failures identified in our review largely reflect consensus in the broader literature regarding the need for strategies to better navigate the complexities of system and policy implementation while ensuring CYMHS interventions fit local contexts.

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.

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.

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.

Nicotine enhances the locomotor stimulating but not the conditioned rewarding effect of ethanol in DBA/2J mice.

BACKGROUND: One hypothesis to explain the high rate of nicotine and alcohol (ethanol [EtOH]) co-abuse is that these drugs have enhanced rewarding effects when taken together. The goal of this work was to use the conditioned place preference (CPP) procedure to determine whether nicotine would enhance the development of EtOH-induced CPP. METHODS: The conditioned rewarding effects of nicotine (1 or 2 mg/kg of nicotine tartrate), EtOH (1 g/kg), and nicotine plus EtOH in combination were assessed using a well-established CPP procedure chosen specifically for examining alterations in the development of EtOH-induced CPP by nicotine. In addition, the reference dose procedure was used to directly compare the conditioned rewarding effect of EtOH versus nicotine plus EtOH. DBA/2J mice were used because they are an inbred strain that has repeatedly been shown to develop CPP to EtOH. RESULTS: Neither dose of nicotine alone produced CPP, whereas EtOH did, using the standard EtOH CPP procedure. The magnitude of EtOH-induced CPP was not affected by co-administration of 1 mg/kg nicotine, but 2 mg/kg nicotine interfered with the development of EtOH-induced CPP. Using the reference dose procedure, there was no significant preference or aversion for either nicotine + EtOH dose combination versus EtOH alone. However, combined nicotine and EtOH had a larger effect on locomotor activity, during the conditioning trials, compared to their additive effect when given alone, consistent with previous data. CONCLUSIONS: These data do not support the hypothesis that nicotine enhances the conditioned rewarding effect of EtOH. This finding differs from the combined locomotor stimulant effects of nicotine and EtOH that were observed in this study and in our previously published work, and suggests that combined stimulant effects of nicotine and EtOH do not predict enhanced reward.

Effects of varenicline on ethanol-induced conditioned place preference, locomotor stimulation, and sensitization.

BACKGROUND: Varenicline, a partial nicotinic acetylcholine receptor (nAChR) agonist, is a promising new drug for the treatment of alcohol (ethanol [EtOH]) dependence. Varenicline has been approved by the Food and Drug Administration as a smoking cessation therapeutic and has also been found to reduce EtOH consumption in humans and animal models of alcohol use. These studies examined the hypotheses that varenicline attenuates the stimulant and sensitizing effects of EtOH and reduces the motivational effects of EtOH-associated cues. The goal was to determine whether these effects of varenicline contribute to its pharmacotherapeutic effects for alcohol dependence. In addition, effects of varenicline on acute stimulation and/or on the acquisition of sensitization would suggest a role for nAChR involvement in these effects of EtOH. METHODS: Dose-dependent effects of varenicline on the expression of EtOH-induced conditioned place preference (CPP), locomotor activation, and behavioral sensitization were examined. These measures model motivational effects of EtOH-associated cues, euphoric or stimulatory effects of EtOH, and EtOH-induced neuroadaptation. All studies used DBA/2J mice, an inbred strain with high sensitivity to these EtOH-related effects. RESULTS: Varenicline did not significantly attenuate the expression of EtOH-induced CPP. Varenicline reduced locomotor activity and had the most pronounced effect in the presence of EtOH, with the largest effect on acute EtOH-induced locomotor stimulation and a trend for varenicline to attenuate the expression of EtOH-induced sensitization. CONCLUSIONS: Because varenicline did not attenuate the expression of EtOH-induced CPP, it may not be effective at reducing the motivational effects of EtOH-associated cues. This outcome suggests that reductions in the motivational effects of EtOH-associated cues may not be involved in how varenicline reduces EtOH consumption. However, varenicline did have effects on locomotor behavior and significantly attenuated acute EtOH-induced locomotor stimulation. In humans who drink while taking varenicline, it might similarly reduce stimulant responses and have an impact on continued drinking. General sedative effects in such individuals should be carefully considered.

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.

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.

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.

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.

Strain differences in behavioral inhibition in a Go/No-go task demonstrated using 15 inbred mouse strains.

BACKGROUND: High levels of impulsivity have been associated with a number of substance abuse disorders including alcohol abuse. Research has not yet revealed whether these high levels predate the development of alcohol abuse. METHODS: The current study examined impulsivity in 15 inbred strains of mice (A/HeJ, AKR/J, BALB/cJ, C3H/HeJ, C57BL/6J, C57L/J, C58/J, CBA/J, DBA/1J, DBA/2J, NZB/B1NJ, PL/J, SJL/J, SWR/J, and 129P3/J) using a Go/No-go task, which was designed to measure a subject's ability to inhibit a behavior. Numerous aspects of response to ethanol and other drugs of abuse have been examined in these strains. RESULTS: There were significant strain differences in the number of responses made during the No-go signal (false alarms) and the extent to which strains responded differentially during the Go and No-go signals (d'). The rate of responding prior to the cue did not differ among strains, although there was a statistically significant correlation between false alarms and precue responding that was not related to basal activity level. Interstrain correlations suggested that false alarms and rate of responding were associated with strain differences in ethanol-related traits from the published literature. CONCLUSIONS: The results of this study do support a link between innate level of impulsivity and response to ethanol and are consistent with a genetic basis for some measures of behavioral inhibition.

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.

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.

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.

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.

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.

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.

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.

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.