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.

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.

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.

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.

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.

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.

Pediatric drug overdose mortality: contextual and policy effects for children under 12 years.

BACKGROUND: We determine trends in fatal pediatric drug overdose from 1999 to 2018 and describe the influence of contextual factors and policies on such overdoses. METHODS: Combining restricted CDC mortality files with data from other sources, we conducted between-county multilevel models to examine associations of demographic and socioeconomic characteristics with pediatric overdose mortality and a fixed-effects analysis to identify how changes in contexts and policies over time shaped county-level fatal pediatric overdoses per 100,000 children under 12 years. RESULTS: Pediatric overdose deaths rose from 0.08/100,000 children in 1999 to a peak of 0.19/100,000 children in 2016, with opioids accounting for an increasing proportion of deaths. Spatial patterns of pediatric overdose deaths are heterogenous. Socioeconomic characteristics are not associated with between-county differences in pediatric overdose mortality. Greater state expenditures on public welfare (B = -0.099; CI: [-0.193, -0.005]) and hospitals (B = -0.222; CI: [-.437, -.007]) were associated with lower pediatric overdose mortality. In years when a Good Samaritan law was in effect, the county-level pediatric overdose rate was lower (B = -0.095; CI: [-0.177, -0.013]). CONCLUSIONS: Pediatric overdose mortality increased since 1999, peaking in 2016. Good Samaritan laws and investment in hospitals and public welfare may temper pediatric overdoses. Multi-faceted approaches using policy and individual intervention is necessary to reduce pediatric overdose mortality. IMPACT: Pediatric fatalities from psychoactive substances have risen within the U.S. since 1999. Higher levels of state spending on public welfare and hospitals are significantly associated with lower pediatric overdose mortality rates. The implementation of Good Samaritan laws is significantly associated with lower pediatric overdose mortality rates. We identified no county-level sociodemographic factors associated with pediatric overdose mortality. The findings indicate that a multi-faceted approach to the reduction of pediatric overdose is necessary.

Is Adolescent Employment Still a Risk Factor for High School Dropout?

Past cohorts of teenagers who spent long hours in jobs were more likely to drop out of high school than those who worked moderate hours or did not work at all. This article examines the association between employment intensity and dropout among adolescents in the High School Longitudinal Study of 2009 who traversed high school during a time of decreased prevalence of both employment and dropout relative to earlier cohorts. Analyses reveal that a relatively small percentage of teenagers nowadays are characterized as either intensive workers or dropouts (around 11% each). Yet, despite declines in intensive employment and dropout, disadvantaged youth remain overrepresented in both groups, and intensive work is still a risk factor for poor grades and dropout.

Moving Upstream: The Effect of Tobacco Clean Air Restrictions on Educational Inequalities in Smoking Among Young Adults.

Education affords a range of direct and indirect benefits that promote longer and healthier lives and stratify health lifestyles. We use tobacco clean air policies to examine whether policies that apply universally-interventions that bypass individuals' unequal access and ability to employ flexible resources to avoid health hazards-have an effect on educational inequalities in health behaviors. We test theoretically informed but competing hypotheses that these policies either amplify or attenuate the association between education and smoking behavior. Our results provide evidence that interventions that move upstream to apply universally regardless of individual educational attainment-here, tobacco clean air policies-are particularly effective among young adults with the lowest levels of parental or individual educational attainment. These findings provide important evidence that upstream approaches may disrupt persistent educational inequalities in health behaviors. In doing so, they provide opportunities to intervene on behaviors in early adulthood that contribute to disparities in morbidity and mortality later in the life course. These findings also help assuage concerns that tobacco clean air policies increase educational inequalities in smoking by stigmatizing those with the fewest resources.

Frequent Drug Use and Negative Employment Outcomes among the Criminally Active.

BACKGROUND: Employment is a central component of economic independence and is widely viewed as an essential element of social control. Whether frequent drug use reduces the likelihood of employment or obstructs hours worked, wages, and job commitment is therefore an important question about which there remains uncertainty. METHODS: We improve on shortcomings of prior research through a monthly within-person analysis of a population at high-risk of both drug use and poor employment outcomes. We present multilevel models of the 18 months spent on the street preceding the arrest that led to incarceration in minimum/medium security facilities in Ohio from a random sample of 250 adult male inmates interviewed during the outset of a prison spell. RESULTS: The analysis reveals consistently strong, negative effects of frequent drug use on employment, hours worked, and wages in the month following frequent drug use, including marijuana, cocaine, heroin, and prescription opioids. As well, frequent drug use (with the exception of marijuana) undermines job commitment during the months that participants are employed. CONCLUSIONS: The consequences of frequent drug use for future employment are consistently negative within this criminal justice sample. Results suggest that lower levels of drug use may improve the success of postrelease employment programs. In a context of increasing concern over rising opioid and heroin, but also cocaine and marijuana abuse, the findings suggest a renewed focus on and perhaps expansion of evidence-based drug treatment among populations embedded within the criminal justice system, particularly if employment constrains criminal behavior.

Trajectories of marijuana use and the transition to adulthood.

Alongside the rise of emerging adulthood, policy contexts for marijuana have rapidly changed, with increases in availability and the number of daily users. We identify heterogeneous pathways of marijuana use from age 16 to 26, and examine how these pathways differentiate adult role transitions by age 28. Latent class analyses identified five trajectories: abstainers, dabblers, consistent users, early heavy quitters, and persistent heavy users. Dabblers are no different from abstainers on educational and labor market outcomes, and both have higher odds of adult role transitions relative to heavier use classes. Dabblers differ from abstainers on certain family transitions, yet remain distinct from the heavier use classes. Besides parenthood, early heavy quitters and persistent heavy users are similar, suggesting that heavy use is particularly detrimental early during transitions to adulthood. Distinct trajectories of marijuana use may differentiate young people into divergent pathways of transitions to adulthood, which may have long-term implications.

Independent and Interactive Effects of Smoking Bans and Tobacco Taxes on a Cohort of US Young Adults.

OBJECTIVES: We examined the mutual effects of smoking bans and taxes on smoking among a longitudinal cohort of young adults. METHODS: We combined a repository of US tobacco policies at the state and local level with the nationally representative geocoded National Longitudinal Survey of Youth 1997 (2004-2011) from ages 19 to 31 years and Census data, to examine the impact of tobacco policies on any current and daily pack smoking. The analytic sample amounts to 19,668 observations among 4341 individuals within 487 cities. RESULTS: For current smoking, we found significant effects for comprehensive smoking bans, but not excise taxes. We also found an interaction effect, with bans being most effective in locales with no or low taxes. For daily pack smoking, we found significant effects for taxes, but limited support for bans. CONCLUSIONS: Social smoking among young adults is primarily inhibited by smoking bans, but excise taxes only deter such smoking in the absence of a ban. Heavy smokers are primarily deterred by taxes. Although both policies have an impact on young adult smoking behaviors, their dual presence does not intensify each policy's efficacy.

Impact of Total Vending Machine Restrictions on US Young Adult Smoking.

INTRODUCTION: In an analysis of smoking using a longitudinal sample of US young adults, we extend research on tobacco vending machine restrictions beyond its prior focus on minors by examining the influence of total vending machine restrictions, which apply to adult-only facilities and represents the only remaining vending machine exemption since the enactment of the Family Smoking Prevention and Tobacco Control Act. We identify whether the passage of a restriction influences an individual's smoking on repeated observations, and if the propensity is lower among those who live in locations with a restriction. METHODS: Combining a repository of US tobacco policies at all geographic levels with the nationally-representative geocoded National Longitudinal Survey of Youth 1997 and Census data, we use multilevel logistic regression to examine the impact of total vending machine restrictions on any past 30-day smoking and past 30-day smoking of one pack per day among young adults (ages 19-31), while accounting for other tobacco control policy, community, and individual covariates. RESULTS: We find that total vending machine restrictions decrease any recent smoking (OR = 0.451; p < .01), net of other covariates. Though the passage of a restriction does not alter an individual's smoking over time, living longer in an area that has a restriction lowers the propensity that an individual will smoke at all (OR = 0.442; p < .05). We find no effect of total vending machine restrictions on smoking a pack daily. CONCLUSIONS: Total vending machine restrictions appear to be an effective, yet highly underutilized, means of tobacco control. IMPLICATIONS: Past scientific inquiries examining vending machine restrictions have focused upon minor access, adolescent perceptions of availability, and subsequent smoking. The potential for total vending machine restrictions, which extend to adult-only facilities, to influence patterns of smoking among those of legal age, remains significant. Those who are subject to total vending machine restrictions for longer periods are less likely to have recently smoked, but individuals do not change their smoking behavior in response to the passage of a restriction. These restrictions do not affect heavy smokers. Such policies are an effective but underutilized policy mechanism to prevent smoking among young adults.

The value of educational degrees in turbulent economic times: Evidence from the Youth Development Study.

Rising costs of higher education have prompted debate about the value of college degrees. Using mixed effects panel models of data from the Youth Development Study (ages 31-37), we compare occupational outcomes (i.e., weekly hours worked, earnings, employment status, career attainment, and job security) between educational attainment categories within year, and within categories across years, from 2005 to 2011, capturing the period before, during, and in the aftermath of the Great Recession. Our findings demonstrate the long-term value of post-secondary degrees. Bachelor's and Associate's degree recipients, while experiencing setbacks at the height of recession, were significantly better off than those with some or no college attendance. Vocational-Technical degree holders followed a unique trajectory: pre-recession, they are mostly on par with Associate's and Bachelor's recipients, but they are hit particularly hard by the recession and then rebound somewhat afterwards. Our findings highlight the perils of starting but not finishing post-secondary educational programs.

Unemployment, Parental Help, and Self-Efficacy During the Transition to Adulthood.

Youth unemployment reduces the capacity to achieve diverse markers of adulthood, potentially undermining the young adult's sense of confidence and independence. While parents often come to the aid of their unemployed young adult children, such support may also have negative psychological repercussions. Applying a hierarchical modeling strategy to longitudinal data from the Youth Development Study, we find that both unemployment and parental financial support have negative consequences for youth's self-efficacy. These common experiences may thus diminish youth's personal psychological resources as they make the increasingly lengthy and precarious transition to adulthood.

The Transition to Adulthood: Life Course Structures and Subjective Perceptions.

We examine the relationships between objective life course structures and the subjective sense of timing of adult roles and acquisition of adult identity. Hierarchical latent class analysis is applied to longitudinal data from the Youth Development Study, describing roles related to school, work, family formation, and living arrangements from age 17 to 30. The transition to adulthood in this cohort is well-represented by five pathways probabilistically mapping the timing and sequencing of these roles and their configurations. Three pathways are characterized by a school-to-work transition with on-time, delayed, or negligible family formation. The remaining pathways involve early parenthood with either a partner and stable full-time work or the lack of a partner and low labor force attachment. We then show that the subjective sense of timing with respect to certain adult roles and adult identity acquisition is empirically tied to these life course structures.

Taste clusters of music and drugs: evidence from three analytic levels.

This article examines taste clusters of musical preferences and substance use among adolescents and young adults. Three analytic levels are considered: fixed effects analyses of aggregate listening patterns and substance use in US radio markets, logistic regressions of individual genre preferences and drug use from a nationally representative survey of US youth, and arrest and seizure data from a large American concert venue. A consistent picture emerges from all three levels: rock music is positively associated with substance use, with some substance-specific variability across rock sub-genres. Hip hop music is also associated with higher use, while pop and religious music are associated with lower use. These results are robust to fixed effects models that account for changes over time in radio markets, a comprehensive battery of controls in the individual-level survey, and concert data establishing the co-occurrence of substance use and music listening in the same place and time. The results affirm a rich tradition of qualitative and experimental studies, demonstrating how symbolic boundaries are simultaneously drawn around music and drugs.

Cannabis policy liberalization is only associated with increased blunt use if states lack strong tobacco control.

INTRODUCTION: Co-use of tobacco and cannabis has long been an issue for prevention and intervention efforts targeting these substances. Blunt use-cannabis inside a cigar wrapper-has been a consistent mode of cannabis consumption since the 1990s. Since then, both tobacco control and cannabis policies have changed considerably. This paper examines the influence of tobacco taxes and smoke-free policies as well as medical and recreational cannabis policies on blunt use among young people. METHODS: Combining state-level tobacco control and cannabis policy data with the restricted-access youth cohort of the Population Assessment of Tobacco and Health (PATH) study, we use multilevel logistic regression models to examine the impact of these policies on past-year blunt use. RESULTS: While we found a main effect whereby both legal medical and recreational cannabis policies are associated with higher odds of blunt use among youth, interaction effects demonstrate that this association only emerges in states lacking a comprehensive tobacco smoke-free policy. In states with smoke-free policies, we found no significant associations between cannabis policy and odds of blunt use. CONCLUSIONS: Denormalization through smoke-free policies may mitigate the effects of recreational and medical cannabis policies on blunt use. Smoke-free policies represent a possible cost-effective mechanism to curb the co-use of tobacco and cannabis in the form of blunts. States with medical and recreational cannabis policies may benefit from greater prevention efforts for young people specifically focused on blunt use, especially in states that do not have strong tobacco control.

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.

Risk Factors for E-Cigarette Ban Relaxation in Homes With Adolescents.

PURPOSE: To identify risk factors for relaxing a strict e-cigarette ban in households with adolescents. METHODS: Youth (ages 12-17) in the Population Assessment of Tobacco and Health (PATH) Study whose parents held a strict vaping ban in 2016 (n = 6,514; 51.5% male) and their parents provided follow-up data on up to four occasions through 2020 on whether the ban was relaxed. RESULTS: 13.5% of households with strict vaping bans relaxed them in a subsequent wave. Results from a logistic regression model showed that the odds of relaxing strict bans were higher if, at baseline, parents vaped (OR = 2.20; 95% CI: 1.22-3.97; p < .01), parents smoked tobacco (OR = 2.55; CI: 2.00-3.26; p < .001), youth smoked tobacco (OR = 2.27; CI: 1.29-4.00; p < .01), parents reported no smoking ban (OR = 2.68; CI: 1.88-3.81; p < .001), youth did not know that their household had a vaping ban (OR = 1.95; CI: 1.50-2.54; p < .001), and parents perceived low harm from vaping (OR = 1.60; CI: 1.16-2.19; p < .01). Although most sociodemographic controls were not independently associated, parents were less likely to relax bans if they had a college degree (OR = 0.71; CI: 0.51-0.998; p < .05), graduate degree (OR = 0.50; CI: 0.43-0.72; p < .001), or children who were non-Hispanic Black (OR = 0.69; CI: 0.49-0.96; p < .05) or Hispanic (OR = 0.62; CI: 0.47-0.81; p < .001). DISCUSSION: While most households with adolescents prohibited e-cigarette use indoors, nearly one in seven relaxed prior strict vaping bans. Parents need support to maintain clear, consistent, and continuous restrictions that communicate that vaping is not safe or permissible for youth.