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      Trends in Adolescent Treatment Admissions for Marijuana in the United States, 2008–2017

      brief-report
      , PhD 1 ,
      Preventing Chronic Disease
      Centers for Disease Control and Prevention

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          Abstract

          Map. The main map shows the 2008–2017 mean admissions rate for each state. Declines in mean admissions rates over time are shown in blue and gray, and increases are shown in orange. States with higher admissions rates are darker and states with lower rates are lighter. Marijuana legalization status appears in the inset map. Abbreviations: CBD, cannabidiol; THC, tetrahydrocannabinol. Admissions rates increased over the study period in only 7 states, 6 of which (excepting North Dakota) have low mean admissions rates. Low mean admissions rates tended to occur in a loose band extending from the Southwest through the South, Appalachia, and into parts of New England. All 12 states in the high mean admissions rate class sustained admissions declines, with 10 of those states having declines in the steepest category. Admissions rates declined during the study period in 40 of the 47 states mapped. Background The legalization of marijuana for medical and recreational uses is expanding in the United States and internationally. Although legalization may address some of the social ills associated with the history of marijuana criminalization (1), the movement toward marijuana legalization has substantial implications for public health, especially for youth. Even with age restrictions for use, legalization may increase the availability and social acceptability of marijuana among youth (2). Adolescent marijuana use, particularly heavy use, is associated with a host of negative health outcomes, including mental health problems and cannabis use disorder (CUD) (3). Although US adolescent marijuana use has not recently increased, the perception of marijuana use as harmful has substantially declined (4). In addition, although recent research suggests that recreational legalization has not prompted a rise in CUD treatment among youth (5), incidence of CUD may have risen (6). Monitoring trends in youth marijuana use, CUD, and treatment is necessary to guide public health responses to rapidly evolving marijuana laws. This research contributes to such monitoring by mapping state-level changes in admissions for substance use disorder treatment for marijuana use among US adolescents from 2008–2017, which spans the beginning of recreational legalization in the United States in 2012. Data and Methods Annual 2008–2017 data on substance use disorder treatment admissions among adolescents (aged 12–17) were extracted from the Treatment Episode Data Set: Admissions (TEDS-A) (7), a national compilation of admissions to publicly funded substance abuse treatment facilities. Consistent with prior research (8), only observations with no prior admissions were retained to ensure that each admission represents a single individual. Wisconsin, Indiana, and South Carolina were excluded because of a large amount of missing data (including missing prior admission information). Seven other states with 3 or fewer years of missing data each were included in the analysis. We calculated the number of annual treatment admissions for each state where the primary substance used was marijuana (or hashish or other cannabis preparation), divided by the total number of adolescents (derived from US Census Bureau annual American Community Survey data files) to yield the annual treatment admissions rate (per 10,000 adolescents). For each state, the slope of the annual change in admissions rate (ie, the linear rate of increase or decline over the study period) was calculated, using within-state standardized values to facilitate comparison among states. Thus, a slope of 0.10 indicates an annual admissions rate increase of 10% of 1 standard deviation for that state. We also calculated the mean admissions rate over the study period for each state to facilitate comparison of the magnitude of rates among states. The map depicts both the slope of the admissions rate (ie, admissions rate gain or loss) and the mean of the admissions rate (ie, admissions rate magnitude) for each state. We used a sequential-diverging, bivariate color scheme in a choropleth map (9), where sequential variation in darkness is used to extend a univariate color scheme to a bivariate context (10). Here, blue is used to indicate a decrease in admissions rate, and orange is used to indicate an increase. A modified 3-class, equal interval classification was used, where the range in slope (min = –0.42, max = 0.19) is classified using breaks at −0.20 and 0.00, with greater saturation indicating a greater departure from zero slope. Color choices were derived from ColorBrewer 2.0 (11). The state mean admissions rate is expressed by altering the darkness of the hue, where states with higher admissions rates appear darker. A 3-class, standard deviation classification was used, where the range in the admissions rate mean (min = 0, max = 233) is classified using breaks at 30 and 72, such that the middle class extends 1 standard deviation centered on the mean. Marijuana legalization status in 2017 is shown using an inset map. Data manipulation was conducted in SPSS version 25 (IBM) and Excel 2016 (Microsoft Corporation). The map was created using ArcGIS Desktop 10.6.1 (Esri). Highlights The map, visually dominated by blue tones, clearly shows that adolescent treatment admissions for marijuana declined in most of states. The mean annual admissions rate for all states declined over the study period by nearly half, from 60 (admissions per 10,000 adolescents) in 2008 to 31 in 2017, with state admissions rate slopes ranging from −0.42 to 0.19 (median = –0.28). State admissions rates in 2008 ranged from fewer than 1 to 218 (median = 52); in 2017 they ranged from fewer than 1 to 167 (median = 21). Admissions rates increased over the study period in only 7 states, 6 of which (excepting North Dakota) have relatively low mean admissions rates (states colored lighter orange). Low mean admissions rates tend to occur in a loose band extending from the Southwest through the South, Appalachia, and into parts of New England. All 12 states in the high mean admissions rate class sustained admissions declines, with 10 of those states having declines in the steepest category (states colored darkest blue). Consistent with prior research on medical marijuana and adolescent marijuana use (12), medical legalization status does not appear to correspond to treatment admission trends. Notably, however, 7 of 8 states with recreational legalization during the study period fall into the class with the steepest level of admissions decline. Action To our knowledge, this map is the first to illustrate state level trends in adolescent treatment admissions for marijuana, and the trends depicted can inform public health responses to changing marijuana laws. Possible causes for the overall decline, and variations among states, in admissions trends include changes in attitudes toward marijuana, as well as differences among states in marijuana use and incidence of CUD, as well as in socioeconomic status, treatment availability, and health insurance (5). Whatever the causes of the observed patterns, however, this research suggests that a precipitous national decline in adolescent treatment admissions, particularly in states legalizing recreational marijuana use, is occurring simultaneously with a period of increasing permissiveness, decreasing perception of harm, and increasing adult use, regarding marijuana (4,13). These trends indicate the need for sustained vigilance in the prevention and treatment of youth CUD during this period of expanding marijuana legalization.

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          Most cited references12

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          Adverse Health Effects of Marijuana Use

          New England Journal of Medicine, 370(23), 2219-2227
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            Association Between Recreational Marijuana Legalization in the United States and Changes in Marijuana Use and Cannabis Use Disorder From 2008 to 2016

            This study uses repeated cross-sectional survey data from the National Survey on Drug Use and Health (2008-2016) to investigate the association between recreational marijuana legalization and changes in marijuana use and cannabis use disorder in the United States. How did marijuana use and cannabis use disorder change during 2008 to 2016 after the legalization of recreational marijuana in the United States? In this multilevel, difference-in-difference survey study with 505 796 respondents comparing marijuana use before and after the legalization of recreational marijuana in the United States, the proportion of respondents aged 12 to 17 years reporting cannabis use disorder increased from 2.18% to 2.72%, while the proportion of respondents 26 years or older reporting frequent marijuana use increased from 2.13% to 2.62% and those with cannabis use disorder, from 0.90% to 1.23%. This study’s findings suggest that possible increases in the risk for cannabis use disorder among adolescent users and increases in frequent use and cannabis use disorder among adults after legalization of recreational marijuana use may raise public health concerns and warrant ongoing study. Little is known about changes in marijuana use and cannabis use disorder (CUD) after recreational marijuana legalization (RML). To examine the associations between RML enactment and changes in marijuana use, frequent use, and CUD in the United States from 2008 to 2016. This survey study used repeated cross-sectional survey data from the National Survey on Drug Use and Health (2008-2016) conducted in the United States among participants in the age groups of 12 to 17, 18 to 25, and 26 years or older. Multilevel logistic regression models were fit to obtain estimates of before-vs-after changes in marijuana use among respondents in states enacting RML compared to changes in other states. Self-reported past-month marijuana use, past-month frequent marijuana use, past-month frequent use among past-month users, past-year CUD, and past-year CUD among past-year users. The study included 505 796 respondents consisting of 51.51% females and 77.24% participants 26 years or older. Among the total, 65.43% were white, 11.90% black, 15.36% Hispanic, and 7.31% of other race/ethnicity. Among respondents aged 12 to 17 years, past-year CUD increased from 2.18% to 2.72% after RML enactment, a 25% higher increase than that for the same age group in states that did not enact RML (odds ratio [OR], 1.25; 95% CI, 1.01-1.55). Among past-year marijuana users in this age group, CUD increased from 22.80% to 27.20% (OR, 1.27; 95% CI, 1.01-1.59). Unmeasured confounders would need to be more prevalent in RML states and increase the risk of cannabis use by 1.08 to 1.11 times to explain observed results, indicating results that are sensitive to omitted variables. No associations were found among the respondents aged 18 to 25 years. Among respondents 26 years or older, past-month marijuana use after RML enactment increased from 5.65% to 7.10% (OR, 1.28; 95% CI, 1.16-1.40), past-month frequent use from 2.13% to 2.62% (OR, 1.24; 95% CI, 1.08-1.41), and past-year CUD from 0.90% to 1.23% (OR, 1.36; 95% CI, 1.08-1.71); these results were more robust to unmeasured confounding. Among marijuana users in this age group, past-month frequent marijuana use and past-year CUD did not increase after RML enactment. This study’s findings suggest that although marijuana legalization advanced social justice goals, the small post-RML increase in risk for CUD among respondents aged 12 to 17 years and increased frequent use and CUD among adults 26 years or older in this study are a potential public health concern. To undertake prevention efforts, further studies are warranted to assess how these increases occur and to identify subpopulations that may be especially vulnerable.
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              Evaluating the public health impacts of legalizing recreational cannabis use in the United States.

              Since 2012 four US states have legalized the retail sale of cannabis for recreational use by adults, and more are likely to follow. This report aimed to (1) briefly describe the regulatory regimes so far implemented; (2) outline their plausible effects on cannabis use and cannabis-related harm; and (3) suggest what research is needed to evaluate the public health impact of these policy changes.
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                Author and article information

                Journal
                Prev Chronic Dis
                Prev Chronic Dis
                PCD
                Preventing Chronic Disease
                Centers for Disease Control and Prevention
                1545-1151
                2020
                19 November 2020
                : 17
                : E145
                Affiliations
                [1 ]Department of Geography and Urban Studies, Temple University, Philadelphia, Pennsylvania
                Author notes
                Corresponding Author: Jeremy Mennis, Temple University, Department of Geography and Urban Studies, 1115 W Polett Walk, 309 Gladfelter Hall, Philadelphia, PA 19122. Telephone: 215-204-4748. Email: jmennis@ 123456temple.edu .
                Article
                20_0156
                10.5888/pcd17.200156
                7735493
                33211996
                7f4cee01-ddd3-4008-85f3-aafd96a57322
                Copyright @ 2020

                Preventing Chronic Disease is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.

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