Comprehensive vaping bans are associated with lower odds of initiation into electronic nicotine delivery systems use among young people.

BACKGROUND AND AIMS: E-cigarette and other electronic nicotine delivery systems (ENDS) use has grown considerably over the past decade, with notable increases among young people. US state policy contexts for ENDS and tobacco may shape initiation into ENDS use among adolescents as they age into early adulthood. We aimed to determine whether state-level comprehensive vaping ban policies reduce the odds of youth initiation into ENDS use, net of additional state-level ENDS and tobacco policies, as well as the youth's cigarette smoking status. DESIGN: Longitudinal data from the Population Assessment of Tobacco and Health study were merged with a state-year database on tobacco and ENDS policies. Multivariable discrete-time event history models of ENDS initiation were estimated. SETTING: United States. PARTICIPANTS: Twenty thousand twelve youth assessed over six waves from 2013 to 2019 (n = 53 974 observations). MEASUREMENT: We examined comprehensive indoor vaping bans (i.e. 100% vape-free workplaces, restaurants and bars) as a key factor in initiation into ENDS use (i.e. first instance of vaping) from age 13 to 22. FINDINGS: Among young people, residing in a state with a comprehensive vaping ban was associated with 18% lower odds of ENDS initiation (odds ratio = 0.82; 95% confidence interval =[0.71, 0.94]), even after controlling for other state ENDS and tobacco policies, the youth's cigarette smoking and socio-demographic background and state-level covariates. CONCLUSIONS: In the United States, state-level vaping bans (i.e. 100% vape-free workplaces, restaurants and bars) are associated with reduced odds of youth initiation into electronic nicotine delivery systems use.

Predictors of concurrent heroin use among patients on opioid maintenance treatment in France: a multilevel study over 11 years.

BACKGROUND: Consistent reports from health professionals suggest that heroin is commonly used by patients undergoing opioid maintenance treatment (OMT) in France, potentially jeopardizing their recovery process. However, there has been no formal epidemiological assessment on the matter. METHODS: We use a yearly updated compendium retrieving information on patients admitted in treatment centres in France between 2010 and 2020. Given the hierarchical nature of the data collection, we conduct 2-level modified Poisson regressions to estimate the risks of past month heroin use among patients on OMT. RESULTS: Despite an overall decreasing trend over time, heroin use among patients on OMT is indeed common, with half of patients declaring concurrent use. Our study unveils differentiated risks of heroin use vary according to the type of OMT, with patients on methadone more likely to use heroin compared to those on buprenorphine. The use of multilevel-related measures also uncovers high heterogeneity among patients' profiles, reflecting different stages in the treatment process, as well as differentiated practices across treatment centres. CONCLUSION: Opioid maintenance treatment is associated with heroin use, in particular when methadone is involved. The heterogeneity among patients on OMT should be given particular attention, as it underscores the need for tailored interventions.

Household vaping bans and youth e-cigarette use.

AIMS: The aims of this study were to measure whether household bans on vaping were associated with lower odds of youth past-month vaping when compared with (1) otherwise similar youth whose households did not have a vaping ban (using coarsened exact matching); and (2) themselves in waves when their household did not have a ban (using hybrid panel models). We used the same analytical strategies to examine cross-sectional associations between household smoking bans and adolescents' past-month cigarette smoking. DESIGN: This was a longitudinal study using data from a nationally representative sample of youth (age 12-17 years) in the Population Assessment of Tobacco and Health Study. SETTING: United States of America. PARTICIPANTS: A total of 16 214 adolescents followed over 48 103 total observations (approximately three waves). MEASUREMENTS: Measurements comprised youth past-month e-cigarette and cigarette use and parent-reported household bans on vaping and smoking. Potential confounders were prior adolescent smoking, vaping, and other nicotine product use; parent current smoking, vaping, and other nicotine use; adolescent peer e-cigarette/cigarette use; parental monitoring; and demographic characteristics. FINDINGS: Before matching, smoking bans were associated with 46% lower odds of youth smoking [odds ratio (OR) = 0.54; 95% confidence interval (CI) = 0.41-0.70] and vaping bans with 37% lower odds of youth e-cigarette use (OR = 0.63; 95% CI = 0.50-0.80). However, households with and without bans differed significantly on all confounders before matching. After matching, household vaping bans were associated with 56% lower odds of youth vaping (OR = 0.44; 95% CI = 0.33-0.58). Results from hybrid panel models also revealed 37% lower odds of vaping in waves when youth lived in a vape-free household compared to waves when they did not (OR = 0.63; 95% CI = 0.50-0.78). Associations between smoking bans and youth smoking were not statistically significant after matching or when using hybrid panel models. CONCLUSIONS: Household vaping bans appear to be associated with lower odds of past-month vaping among US adolescents, compared with similar youth whose households did not have a ban and to themselves in waves when their households did not have a ban.

Tobacco Policy and ENDS Policy Influences on Adolescent Vaping Across the U.S. States.

INTRODUCTION: Although the use of tobacco has declined among youth, ENDS has the potential to disrupt or reverse these trends. Policies for tobacco and ENDS may have an impact on adolescent ENDS use. The impacts of state-level policies were examined for both tobacco and ENDS indoor use bans, excise taxes, and age-of-purchase laws on past-month adolescent ENDS use from 2013 to 2019. METHODS: This study used cohort data from the Population Assessment of Tobacco and Health study and policy data from the Americans for Nonsmokers' Rights Foundation repository-3 policies for ENDS and 2 policies for tobacco products. Policies included comprehensive indoor vaping/smoking bans, purchase-age restrictions, and excise taxes. Hybrid panel models were estimated in 2022 using data merged from the 2 longitudinal sources on past-month vaping. The analytic sample (observations=26,008) included adolescents aged 12-17 years, yielding a total of 72,684 observations. RESULTS: The odds of adolescent ENDS use were 21.4% lower when the state had an ENDS purchase-age restriction and 55.0% lower when the state had a comprehensive tobacco smoking ban than in the years when the state did not have the ban. CONCLUSIONS: During a period of significant growth in ENDS use among U.S. youth, ENDS purchase-age restrictions and smoking bans reduced the odds of past-month vaping among adolescents. Wider implementation of policies may help intervene in youth vaping.

E-cigarette use among early adolescent tobacco cigarette smokers: testing the disruption and entrenchment hypotheses in two longitudinal cohorts.

OBJECTIVE: Using longitudinal data from two large-scale cohorts in the UK and USA, we examine whether e-cigarette use steers adolescent early smokers away from tobacco cigarettes (disruption hypothesis) or deepens early patterns of tobacco smoking (entrenchment hypothesis) in comparison with early smokers who do not use e-cigarettes. METHODS: Youth who smoked tobacco cigarettes by early adolescence (before age 15) were selected from the ongoing UK Millennium Cohort Study (n=1090) and the US Population Assessment of Tobacco and Health (n=803) study. In regression models, the focal predictor was lifetime use of an e-cigarette by early adolescence and the primary outcome was current tobacco use by late adolescence (before age 18). Logistic and multinomial models controlled for early adolescent risk factors and sociodemographic background, and were weighted for attrition and adjusted for complex survey designs. RESULTS: Among youth who were early cigarette smokers, 57% of UK and 58% of US youth also used e-cigarettes. The odds of later adolescent smoking among early smoking youth were significantly higher among e-cigarette users relative to those who had not used e-cigarettes (adjusted OR (AORUK)=1.45; AORUSA=2.19). In both samples, multinomial models indicated that early smoking youth who used e-cigarettes were more likely to be frequent smokers relative to not smoking (AORUK=2.01; AORUSA=5.11) and infrequent smoking (AORUK=1.67; AORUSA=2.11). CONCLUSIONS: Despite national differences in e-cigarette regulation and marketing, there is evidence e-cigarette use among early adolescent smokers in the UK and USA leads to higher odds of any smoking and more frequent tobacco cigarette use later in adolescence.

Correlates of Heroin Use, Pharmaceutical Fentanyl Misuse, and Dual Heroin-Fentanyl Use: Evidence from the U.S.

Purpose: The emergence of fentanyl has deepened concerns about the opioid crisis. The shift has created new distinctions in patterns of opioid use, which may be important for prevention and intervention. We examine socio-demographic correlates as well as health and substance use characteristics of different groups of opioid users. Design: We utilized the 2015-2019 National Survey on Drug Use and Health to examine distinctions between groups (n=11,142) of individuals who misuse prescription opioids, use heroin but not fentanyl, misuse pharmaceutical fentanyl but not heroin, and use both heroin and fentanyl. Multinomial and logistic regression models were used to identify these distinctions. Findings: Few socio-demographic differences emerged between the prescription opioid group and pharmaceutical fentanyl misuse group. While those who misuse fentanyl have higher odds of using other drugs and experiencing certain mental health problems than those misusing prescription pills, both the heroin and fentanyl-heroin use groups reported considerably poorer health and substance use indicators relative to those who solely misuse fentanyl. It is also notable that both heroin use groups are more highly associated with cocaine and methamphetamine use than those misusing fentanyl alone. Originality: This study highlights distinctions between pharmaceutical fentanyl users, heroin users, and users of both substances. Implications: While we identify important distinctions between the opioid use groups studied, individuals using both heroin and pharmaceutical fentanyl report the poorest health and substance use characteristics. Important differences between the fentanyl-only group and the group who consume both drugs may have implications for prevention, intervention, and clinical work amidst shifting patterns of opioid use.

Trends in Psychotropic Drug-Implicated Cardiovascular Mortality: Patterns in U.S. Mortality, 1999-2020.

INTRODUCTION: Psychotropic drug-implicated (PDI) mortality-deaths in which psychotropic drugs were a contributing but not underlying cause of death-increased over two decades, with circulatory mortality as the primary cause leading to such deaths. Trends in PDI circulatory mortality over a 22-year period and its patterning in U.S. deaths are described. METHODS: Deaths extracted from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research Multiple Causes of Death database from 1999 to 2020 were analyzed to generate annual counts and rates for drug-implicated deaths due to diseases of the circulatory system, including by specific drug, sex, race/ethnicity, age, and state. RESULTS: During a period when overall age-adjusted circulatory mortality rates declined, PDI circulatory mortality more than doubled, from 0.22 per 100,000 in 1999 to 0.57 per 100,000 by 2020, now representing 1 in 444 circulatory deaths. Although PDI deaths from ischemic heart diseases are proportionally aligned with overall circulatory deaths (50.0% vs 48.5%), PDI deaths from hypertensive diseases represent a larger proportion (19.8% vs 8.0%). Psychostimulants generated the greatest escalation for PDI circulatory deaths (0.029-0.332 per 100,000). The sex gap in PDI mortality rates widened (0.291 females, 0.861 males). PDI circulatory mortality is particularly notable for Black Americans and midlife Americans, with considerable geographic variability. CONCLUSIONS: Circulatory mortality with psychotropic drugs as a contributing cause escalated over 2 decades. Trends in PDI mortality are not evenly distributed across the population. Greater engagement with patients about their substance use is needed to intervene in cardiovascular deaths. Prevention and clinical intervention could contribute to reinvigorating previous trends of declining cardiovascular mortality.

Social Network Ties and Responses to COVID-19 Among E-Cigarette Users.

Social networks can enhance behavioral changes or entrench existing patterns of behavior. We aimed to identify how network ties to other e-cigarette users shaped responses to the pandemic and e-cigarette considerations. A national U.S. survey of 562 e-cigarette users was conducted during April 2020. Participants self-reported network ties to other e-cigarette users and pandemic outcomes: receiving expressions of concern about vaping, risk for a bad COVID outcome, changes in e-cigarette risk perceptions, and considerations of quitting. Each additional e-cigarette user tie was associated with a 0.014 unit increase in expressions of concern (p < 0.001), a 0.034 unit increase in perceived risk of a bad outcome (p < 0.05), and 3.9% higher odds of quit considerations (OR = 1.039; p < 0.01). Family ties to e-cigarette users were particularly important. Additional e-cigarette users within a network shaped risk perceptions in response to COVID-19. Network ties to other e-cigarette users have implications for cessation or reduction of e-cigarette use.

Adolescent Cannabis Use During a Period of Rapid Policy Change: Evidence From the PATH Study.

PURPOSE: To determine whether shifts in various state-level cannabis policies are associated with individual-level changes in adolescent cannabis use following implementation. METHODS: We use the restricted-access youth cohort of the PATH Study, a recent, longitudinal, and nationally representative dataset, to assess whether changes in cannabis policy affect youth cannabis use. Data include respondents aged 12 to 17 years across up to six repeated observations (N = 26,673). Hybrid (between-person and within-person) panel models are used to examine adolescent past-month cannabis use. RESULTS: Within-person effects showed that the odds of past-month cannabis use are lower (odds ratio [OR] = 0.632; p < .05) in years when a respondent's state allowed only cannabidiol (CBD) compared to years when the state had legalized medical cannabis. The odds of past-month cannabis use are lower during years when a respondent's state had decriminalized (OR = 0.617; p < .01) or criminalized (OR = 0.648; p < .05) adult recreational cannabis possession compared to years when it was legalized. These effects were robust to numerous controls, including time and state fixed effects. By contrast, significant between-person effects became nonsignificant with state fixed effects included, implying that state-level average use distinguishes average differences between states rather than policy. DISCUSSION: Liberalized cannabis policy is significantly associated with recent adolescent cannabis use. The most consequential policy shift associated with adolescent use is from either criminalization or decriminalization of cannabis possession to legalization, such that states making these changes should consider additional prevention efforts.

Associations Between E-cigarettes and Subsequent Cocaine Use in Adolescence: An Analysis of the UK Millennium Cohort Study.

INTRODUCTION: Nicotine exposure via early combustible cigarette smoking can prime the adolescent brain for subsequent cocaine use. However, there is limited evidence whether e-cigarette use, a nicotine delivery system that is increasingly popular among youth, is associated with later cocaine use. We examine the association between e-cigarette use by the age of 14 years and cocaine use by the age of 17 years. AIMS AND METHODS: The Millennium Cohort Study is a nationally representative sample of 18 552 9-month-old children born between September 2000 and January 2002 in the United Kingdom. Follow-up interviews and surveys were collected from children and their caregivers at modal ages 3, 5, 7, 9, 11, 14, and 17 years. Our analytic sample included 340 youth who had used e-cigarettes by age 14 years (exposure variable), matched using coarsened exact matching, to 4867 nicotine naïve youth on childhood common liability confounders and demographics measured from infancy to age 11. The outcome was cocaine use by the modal age of 17 years. RESULTS: Of the 5207 successfully matched youth, 7.6% of adolescent e-cigarette users by age 14 years used cocaine by age 17 years versus 3.1% of non-e-cigarette users. Multivariable logistic regression in the matched sample indicated that e-cigarette use by age 14 years was associated with 2.7 times higher odds of cocaine use by age 17 years (95% CI, 1.75 to 4.28). CONCLUSIONS: These findings in a UK sample showed that e-cigarette use in early adolescence is associated with higher odds of cocaine use later in adolescence, similar to risks posed by tobacco cigarette smoking. IMPLICATIONS: In this large-scale prospective cohort study (n = 5207), youth who had used e-cigarettes by the age of 14 years were matched to nicotine naïve youth on childhood common liability confounders and demographics measured from infancy to age 11 years (e.g. school engagement, risk-taking propensity, delinquency, peer and parental smoking, parental educational attainment). After matching, 7.6% of age 14 years e-cigarette users had subsequently used cocaine by the age of 17 years versus 3.1% of non-e-cigarette users. Although e-cigarettes are promoted as a strategy for nicotine-dependent users to reduce the harms of combustible cigarettes, the evidence here suggests that for nicotine naïve youth, they may increase the risk of subsequent cocaine use.

Surveillance and the experience of the COVID-19 pandemic for formerly incarcerated individuals.

To date, most criminal justice research on COVID-19 has examined the rapid spread within prisons. We shift the focus to reentry via in-depth interviews with formerly incarcerated individuals in central Ohio, specifically focusing on how criminal justice contact affected the pandemic experience. In doing so, we use the experience of the pandemic to build upon criminological theories regarding surveillance, including both classic theories on surveillance during incarceration as well as more recent scholarship on community surveillance, carceral citizenship, and institutional avoidance. Three findings emerged. First, participants felt that the total institution of prison "prepared" them for similar experiences such as pandemic-related isolation. Second, shifts in community supervision formatting, such as those forced by the pandemic, lessened the coercive nature of community supervision, expressed by participants as an increase in autonomy. Third, establishment of institutional connections while incarcerated alleviated institutional avoidance resulting from hyper-surveillance, specifically in the domain of healthcare, which is critical when a public health crisis strikes. While the COVID-19 pandemic affected all, this article highlights how theories of surveillance inform unique aspects of the pandemic for formerly incarcerated individuals, while providing pathways forward for reducing the impact of surveillance.

Later-life transitions and changes in prescription medication use for pain and depression.

BACKGROUND: Over the past two decades, prescription medication use for pain and depression increased dramatically. Most studies consider the early life course, despite a similar increase among those in later life. In this paper, we examine whether and how later life transitions may relate to changes in medication use. METHODS: We draw on data from the Health and Retirement Study and fixed-effects models to examine whether work, family, and civic transitions in later life are related to changes in the usage of prescription pain and depression medication. RESULTS: Results show that individuals had higher odds of regularly using prescription pain and depression medications in periods when out of the labor market. Higher odds of depression medication use were also associated with periods of widowhood, and lower odds of use when frequently volunteering. Such relations persist adjusting for reported levels of pain and depression. CONCLUSION: Our findings call attention to the importance of social ties and the presence of actors that may regulate health behaviors, as well as a change in social context, that may shape medication use in later life.

Electronic cigarette use in adolescence is associated with later cannabis use.

BACKGROUND: Research is needed to determine whether e-cigarette use during adolescence is associated with higher odds of subsequent cannabis use, net of tobacco cigarette use and childhood confounders. METHODS: Multivariable logistic regressions predicting using cannabis by age 17 based upon prospective, intergenerational data from 10,251 youth in a nationally representative UK birth cohort followed from infancy who had not used cannabis by age 14. The focal predictor is e-cigarette use by age 14 in the context of the potential confounder tobacco cigarette use. Regressions include sociodemographic background and risk factors assessed at age 11 (e.g., alcohol initiation, problem behaviors, parental and peer smoking) and during early childhood (e.g., maternal smoking during pregnancy, parental substance use). RESULTS: Youth use of e-cigarettes by age 14 was associated with 2.8 times higher odds of subsequent cannabis use by age 17 [OR 2.75; 95% CI 1.82,4.15], net of tobacco cigarette smoking and childhood confounders. Similarly, use of e-cigarettes by age 14 was associated with 2.5 times higher odds [OR 2.46; 95% CI 1.48,4.08] of frequent cannabis use at age 17 (>10 times in prior year). If youth used both e-cigarettes and tobacco cigarettes by age 14, the probabilities of cannabis initiation were 75% and of frequent use was 25% by age 17, compared to probabilities of 23% and 6%, respectively, among youth who had used neither product. CONCLUSIONS: Findings add to accumulating evidence that adolescent e-cigarette use is associated with higher odds of later cannabis initiation and frequent use, independent of tobacco cigarette use.

Surveillance, Self-Governance, and Mortality: The Impact of Prescription Drug Monitoring Programs on U.S. Overdose Mortality, 2000-2016.

Policy mechanisms shaping population health take numerous forms, from behavioral prohibitions to mandates for action to surveillance. Rising drug overdoses undermined the state's ability to promote population-level health. Using the case of prescription drug monitoring programs (PDMPs), we contend that PDMP implementation highlights state biopower operating via mechanisms of surveillance, whereby prescribers, pharmacists, and patients perceive agency despite choices being constrained. We consider whether such surveillance mechanisms are sufficient or if prescriber/dispenser access or requirements for use are necessary for population health impact. We test whether PDMPs reduced overdose mortality while considering that surveillance may require time to reach effectiveness. PDMPs reduced opioid overdose mortality 2 years postimplementation and sustained effects, with similar effects for prescription opioids, benzodiazepines, and psychostimulants. Access or mandates for action do not reduce mortality beyond surveillance. Overall, PDMP effects on overdose mortality are likely due to self-regulation under surveillance rather than mandated action.

Adolescent electronic cigarette use and tobacco smoking in the Millennium Cohort Study.

AIMS: To evaluate the catalyst, diversion and common liability hypotheses by examining associations between e-cigarette use and tobacco cigarette smoking at modal ages 14 and 17 years, controlling for adolescent and infancy risk factors. DESIGN: Intergenerational, prospective cohort data from the Millennium Cohort Study (MCS). Nationally representative sample of infants born September 2000 to January, 2002. SETTING: United Kingdom. PARTICIPANTS: Parent and child data from 10 625 youth assessed in infancy and modal ages 11, 14 and 17 years. MEASUREMENTS: Age 14 and 17 e-cigarette and combustible cigarette use (recency, frequency). Potential confounders were age 11 risk factors (e.g. alcohol use, externalizing behaviors, parental tobacco use, permissiveness), infancy risk factors (e.g. maternal smoking during pregnancy, smoke exposure in infancy) and demographic characteristics. FINDINGS: Among youth who had not smoked tobacco by age 14 (n = 9046), logistic regressions estimated that teenagers who used e-cigarettes by age 14 compared with non-e-cigarette users, had more than five times higher odds of initiating tobacco smoking by age 17 [odds ratio (OR) = 5.25, 95% confidence interval (CI) = 3.28-8.38] and nearly triple the odds of being a frequent tobacco smoker at age 17 (OR = 2.91, 95% CI = 1.56-5.41), net of risk factors and demographics. Among youth who had not used e-cigarettes by age 14 (n = 9078), teenagers who had smoked tobacco cigarettes by age 14 had three times higher odds of initiating e-cigarettes by age 17 (OR = 2.98, 95% CI = 1.74-5.09) compared with non-tobacco smokers and nearly three times higher odds of frequently using e-cigarettes at age 17 (OR = 2.90, 95% CI = 1.21-6.95), net of confounders. Similar links between e-cigarette and tobacco cigarette use were observed in regressions following coarsened exact matching. CONCLUSIONS: E-cigarette use by age 14 is associated with increased odds of tobacco cigarette initiation and frequent smoking at age 17 among British youth. Similarly, tobacco smoking at age 14 is associated with increased odds of both e-cigarette initiation and frequent use at age 17.

Do naloxone access laws affect perceived risk of heroin use? Evidence from national US data.

BACKGROUND AND AIMS: Whether expanded access to naloxone reduces perceptions of risk about opioid use has been subject to debate. Our aim was to assess how implementation of naloxone access laws shapes perceived risk of heroin use. DESIGN: Using data from the restricted-access National Survey on Drug Use and Health, Prescription Drug Abuse Policy System and the US Census, we applied two-way fixed-effects models to determine whether naloxone access laws decreased perceived risk of any heroin use or regular heroin use. We used Bayes factors (BFs) to confirm evidence for null findings. SETTING: United States. PARTICIPANTS: A total of 884 800 respondents aged 12 and older from 2004 to 2016. MEASUREMENTS: A binary indicator of whether a state implemented naloxone access laws was regressed on respondent-perceived risk of (1) any heroin use and (2) regular heroin use. Ratings of perceived risk were assessed on a scale of 1 (none) to 4 (great risk). FINDINGS: In all instances, the BFs support evidence for the null hypothesis. Across models with three distinct specifications of naloxone access laws, we found no evidence of decreased risk perceptions, as confirmed by BFs ranging from 0.009 to 0.057. Across models of specific vulnerable subgroups, such as people who use opioids (BFs = 0.039-0.225) or young people (BFs = 0.009-0.158), we found no evidence of decreased risk perceptions. Across diverse subpopulations by gender (BFs = 0.011-0.083), socio-economic status (BFs = 0.015-0.168) or race/ethnicity (BFs = 0.016-0.094), we found no evidence of decreased risk perceptions. CONCLUSIONS: There appears to be no empirical evidence that implementation of naloxone access laws has adversely affected perceptions of risk of heroin in the broader US population or within vulnerable subgroups or diverse subpopulations.

Further Consideration of the Impact of Tobacco Control Policies on Young Adult Smoking in Light of the Liberalization of Cannabis Policies.

INTRODUCTION: Changing patterns of cannabis consumption related to the liberalization of cannabis policies may have a countervailing effect on tobacco use. We analyzed whether cannabis policies have tempered the effects of tobacco control policies as well as the extent to which they were associated with young adult cigarette smoking. AIMS AND METHODS: Combining data on tobacco and cannabis policies at the state, county, and city levels with the nationally-representative geocoded National Longitudinal Survey of Youth 1997 and Census data, we use multilevel regression and fixed effect analyses to examine the impact of cannabis policies on any past 30-day cigarette smoking, frequency of smoking, and past 30-day near-daily smoking among young adults while accounting for community and individual covariates. RESULTS: Tobacco control policies, including significant effects of comprehensive smoking bans, total vending machine restrictions, single cigarette sale restrictions, and advertising restrictions, remain robust in reducing young adult smoking, net of cannabis policy liberalization, including the legal status of possession, penalties for sale, and medical cannabis. Cannabis policies do not directly affect young adult smoking patterns in an adverse way. CONCLUSIONS: This paper provides evidence that the liberalization of cannabis laws has not adversely affected the efficacy of tobacco control efforts. IMPLICATIONS: While the effects of tobacco control policies on smoking are well-established, little research has considered how the liberalization of cannabis policies may affect these relationships, which is important given the co-use of these substances. This paper provides evidence that the liberalization of cannabis laws has not adversely affected tobacco control efforts.

Effects of County-Level Opioid Dispensing Rates on Individual-Level Patterns of Prescription Opioid and Heroin Consumption: Evidence From National U.S. Data.

OBJECTIVE: The authors examined directly whether county-level changes in opioid dispensing rates affect individual-level prescription opioid misuse, frequency of use, and dependence, as well as the same outcomes for heroin. METHODS: Using data from the restricted-access National Survey on Drug Use and Health, the Centers for Disease Control and Prevention's retail opioid prescription database, the Prescription Drug Abuse Policy System, and the U.S. Census, the authors applied fixed-effects models to determine whether county-level dispensing rates affected prescription opioid outcomes as intended and whether changes in rates adversely affected heroin use outcomes. Bayes factors were used to confirm evidence for null findings. RESULTS: The sample included 748,800 respondents age 12 and older from 2006 to 2016. The odds of prescription opioid misuse, increased frequency of misuse, and dependence were 7.2%, 3.5%, and 10.4% higher, respectively, per standard deviation increase in the county-level opioid dispensing rate per 100 persons. There was no evidence for any association between opioid dispensing rates and the three heroin outcomes. The odds ratio was nonsignificant according to frequentist techniques in fixed-effects models, and Bayesian techniques confirmed very strong support for the null hypothesis. CONCLUSIONS: County-level opioid dispensing rates are directly associated with individual-level prescription opioid misuse, frequency of misuse, and dependence. Changes in dispensing were not associated with population shifts in heroin use. Reductions in opioid dispensing rates have contributed to stemming prior increases in prescription opioid misuse while not adversely affecting heroin use. Physicians and other health care providers can take action to minimize opioid dispensing for tangible benefits regarding prescription opioid misuse without adverse effects on heroin use.

Do state supports for persons with brain injury affect outcomes in the 5 Years following acute rehabilitation?

While a substantial literature has examined the effects of individual and family-level factors on outcomes following traumatic brain injury (TBI), minimal attention has been directed to the potential influence of the larger environmental context on outcomes. The purpose of the current study was to investigate the effects of state-level resources and supports as an environmental factor influencing long-term outcomes from TBI using data from the TBI Model Systems. We examined the effects of U.S. state supports that specifically target people with TBI (federal funding for state brain injury programs, per capita revenue generated by brain injury trust funds, and expenditures for brain injury specific Medicaid waivers) and one measure of the relative quality of a state's Long-Term Services and Supports (LTSS) for all people with disabilities. The primary hypothesis was that community participation, global functioning, and life satisfaction will be higher on average among people with TBI living in states with more brain injury specific programs and resources and better LTSS. The results of multilevel and fixed-effects modeling indicated that state supports have a small but significant impact on participation and life satisfaction. The most consistent finding indicated that states with better LTSS had higher levels of community participation and life satisfaction on average for people with TBI over and above individual-level differences and fluctuations in these outcomes over time. There was some indication that more brain injury specific supports also result in better participation in the community. These findings deserve replication and extension to include other environmental factors, particularly community level characteristics, that might affect outcomes from TBI.