Mailman School of Public Health, Department of Epidemiology, Columbia University, New York, New York.
Mailman School of Public Health, Department of Biostatistics, Columbia University, New York, New York.
JAMA Netw Open. 2019 Jul 3;2(7):e197216. doi: 10.1001/jamanetworkopen.2019.7216.
Between 1997 and 2017, the United States saw increases in nonmedical prescription opioid use and its consequences, as well as changes in marijuana policies. Ecological-level research hypothesized that medical marijuana legalization may reduce prescription opioid use by allowing medical marijuana as an alternative.
To investigate the association of state-level medical marijuana law enactment with individual-level nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users and to determine whether these outcomes varied by age and racial/ethnic groups.
DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used restricted data on 627 000 individuals aged 12 years and older from the 2004 to 2014 National Survey on Drug Use and Health, a population-based survey representative of the civilian population of the United States. Analyses were completed from March 2018 to May 2018.
Time-varying indicator of state-level medical marijuana law enactment (0 = never law enactment, 1 = before law enactment, and 2 = after law enactment).
Past-year nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users. Odds ratios of nonmedical prescription opioid use and prescription opioid use disorder comparing the period before and after law enactment were presented overall, by age and racial/ethnic group, and adjusted for individual- and state-level confounders.
The study sample included 627 000 participants (51.51% female; 9.88% aged 12-17 years, 13.30% aged 18-25 years, 14.30% aged 26-34 years, 25.02% aged 35-49 years, and 37.50% aged ≥50 years; the racial/ethnic distribution was 66.97% non-Hispanic white, 11.83% non-Hispanic black, 14.47% Hispanic, and 6.73% other). Screening and interview response rates were 82% to 91% and 71% to 77%, respectively. Overall, there were small changes in nonmedical prescription opioid use prevalence after medical marijuana law enactment (4.32% to 4.86%; adjusted odds ratio, 1.13; 95% CI, 1.06-1.20). Prescription opioid use disorder prevalence among prescription opioid users decreased slightly after law enactment, but the change was not statistically significant (15.41% to 14.76%; adjusted odds ratio, 0.95; 95% CI, 0.81-1.11). Outcomes were similar when stratified by age and race/ethnicity.
This study found little evidence of an association between medical marijuana law enactment and nonmedical prescription opioid use or prescription opioid use disorder among prescription opioid users. Further research should disentangle the potential mechanisms through which medical marijuana laws may reduce opioid-related harm.
1997 年至 2017 年间,美国非医疗处方类阿片类药物的使用及其后果有所增加,同时大麻政策也发生了变化。基于生态学的研究假设,医用大麻合法化可能会减少处方类阿片类药物的使用,因为人们可以将医用大麻作为一种替代药物。
调查州级医用大麻法律的颁布与个体层面非医疗处方类阿片类药物使用和处方类阿片类药物使用者的处方类阿片类药物使用障碍之间的关联,并确定这些结果是否因年龄和种族/族裔群体而异。
设计、地点和参与者:本横断面研究使用了来自 2004 年至 2014 年全国药物使用与健康调查的 627000 名 12 岁及以上个人的受限数据,这是一项代表美国平民人口的基于人群的调查。分析于 2018 年 3 月至 2018 年 5 月完成。
州级医用大麻法律颁布的时间变化指标(0=从未颁布法律,1=颁布前,2=颁布后)。
在处方类阿片类药物使用者中,过去一年非医疗处方类阿片类药物使用和处方类阿片类药物使用障碍。在法律颁布前后,分别呈现了非医疗处方类阿片类药物使用和处方类阿片类药物使用障碍的总体比值比,并根据个体和州一级的混杂因素进行了调整。
研究样本包括 627000 名参与者(51.51%为女性;9.88%年龄在 12-17 岁,13.30%年龄在 18-25 岁,14.30%年龄在 26-34 岁,25.02%年龄在 35-49 岁,37.50%年龄≥50 岁;种族/族裔分布为 66.97%为非西班牙裔白人,11.83%为非西班牙裔黑人,14.47%为西班牙裔,6.73%为其他)。筛查和访谈的回复率分别为 82%至 91%和 71%至 77%。总体而言,医用大麻法律颁布后,非医疗处方类阿片类药物使用的流行率略有变化(4.32%至 4.86%;调整后的比值比,1.13;95%置信区间,1.06-1.20)。处方类阿片类药物使用者中处方类阿片类药物使用障碍的流行率在法律颁布后略有下降,但差异无统计学意义(15.41%至 14.76%;调整后的比值比,0.95;95%置信区间,0.81-1.11)。按年龄和种族/族裔分层后,结果相似。
本研究发现,医用大麻法律的颁布与处方类阿片类药物使用者的非医疗处方类阿片类药物使用或处方类阿片类药物使用障碍之间几乎没有关联。进一步的研究应该阐明医用大麻法律可能减少阿片类药物相关伤害的潜在机制。