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美国私人保险成年人中,大麻法律与阿片类药物处方之间的关联。

Association between cannabis laws and opioid prescriptions among privately insured adults in the US.

机构信息

Department of Internal Medicine, Division of Geriatrics, University of Texas Medical Branch, Galveston, TX 77555-0177, United States of America; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX 77555-0177, United States of America.

Department of Internal Medicine, Division of Geriatrics, University of Texas Medical Branch, Galveston, TX 77555-0177, United States of America.

出版信息

Prev Med. 2019 Aug;125:62-68. doi: 10.1016/j.ypmed.2019.05.012. Epub 2019 May 21.

Abstract

We examine the association between opioid prescription patterns in privately insured adults and changes in state cannabis laws among five age groups (18-25, 26-35 36-45, 46-55 and 56-64 years). Using the 2016 Clinformatics Data Mart, a nationwide commercial health insurance database, we performed a cross-sectional analysis of two types of opioid prescribing (>30-day and >90-day prescriptions) among all adults aged 18-64 based on the stringency of cannabis laws. We found a significant interaction between age and cannabis law on opioid prescriptions. Age-stratified multilevel multivariable analyses showed lower opioid prescription rates in the four younger age groups only in states with medical cannabis laws, when considering both >30 day and >90 day opioid use [>30 day adjusted odds ratio (aOR) = 0.56, in 18-25, aOR = 0.67 in 26-35, aOR = 0.67 in 36-45, and aOR = 0.76 in 46-54 years; >90 day aOR = 0.56, in 18-25, aOR = 0.68 in 26-35, aOR = 0.69 in 36-45, and aOR = 0.77 in 46-54 years, P < 0.0001 for all]. This association was not significant in the oldest age group of 55-64 years. There was no significant association between opioid prescriptions and other categories of cannabis laws (recreational use and decriminalization) in any of the age groups studied.

摘要

我们考察了私人保险成年人中阿片类药物处方模式与五个年龄组(18-25、26-35、36-45、46-55 和 56-64 岁)中州立大麻法律变化之间的关联。使用 2016 年 Clinformatics Data Mart,一个全国性的商业健康保险数据库,我们根据大麻法律的严格程度,对所有 18-64 岁成年人进行了两种阿片类药物处方(>30 天和>90 天处方)的横断面分析。我们发现年龄和大麻法律之间存在显著的相互作用,对阿片类药物处方有影响。分层多水平多变量分析显示,在有医用大麻法律的州,仅在四个年轻年龄组中,阿片类药物处方率较低,考虑到>30 天和>90 天的阿片类药物使用[>30 天调整后的优势比(aOR)=0.56,18-25 岁;aOR=0.67,26-35 岁;aOR=0.67,36-45 岁;aOR=0.76,46-54 岁;>90 天 aOR=0.56,18-25 岁;aOR=0.68,26-35 岁;aOR=0.69,36-45 岁;aOR=0.77,46-54 岁,P<0.0001]。在年龄最大的 55-64 岁年龄组中,这种关联不显著。在任何研究年龄组中,阿片类药物处方与其他类别的大麻法律(娱乐用途和非刑事化)之间均无显著关联。

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