Cano Manuel, Timmons Patricia, Hooten Madeline, Sweeney Kaylin
School of Social Work, Arizona State University, 411N, Central Ave Suite 863, Phoenix, AZ 85004, USA.
College of Health Solutions, Arizona State University, USA.
Drug Alcohol Depend Rep. 2023 Oct 26;9:100197. doi: 10.1016/j.dadr.2023.100197. eCollection 2023 Dec.
Illicitly-manufactured fentanyl and stimulants have replaced prescription opioids as the primary contributors to fatal overdoses in the United States (US), yet the street supply of these substances is challenging to quantify. Building on the foundation of prior research on law enforcement drug reports, the present study compares publicly available forensic laboratory drug report measures to identify which measures account for the most variation in drug overdose mortality between states, within states over time, and in various demographic groups.
Drug reports from the National Forensic Laboratory Information System and drug overdose mortality rates from the Centers for Disease Control and Prevention were examined for all US states and the District of Columbia, 2013-2021 (459 state-years). State- and year- fixed effects models regressed drug overdose mortality rates (in the overall population and subpopulations by sex, age, and race/ethnicity) on various drug report measures, including rates per population and proportional shares of drug reports positive for fentanyl/fentanyl-related compounds, heroin, cocaine, methamphetamine, and xylazine.
For drug overdose death rates in the overall population and nearly all subpopulations examined by sex, race/ethnicity, and age, the model including all drug report proportional measures represented the best-performing model (as identified via the lowest Akaike Information Criterion and highest within -squared value), followed by the model including only the fentanyl/fentanyl-related compounds proportion.
Findings support the utility of publicly available drug report composition measures, particularly the proportion of fentanyl/fentanyl-related compounds, as predictors of drug overdose mortality in the US and in various subpopulations.
非法制造的芬太尼和兴奋剂已取代处方阿片类药物,成为美国致命过量用药的主要原因,但这些物质的街头供应量难以量化。本研究在先前对执法毒品报告研究的基础上,比较了公开可用的法医实验室毒品报告指标,以确定哪些指标在州与州之间、州内随时间以及不同人口群体的药物过量死亡率差异中占比最大。
研究考察了2013年至2021年美国所有州和哥伦比亚特区的国家法医实验室信息系统毒品报告以及疾病控制与预防中心的药物过量死亡率(共459个州年数据)。州和年份固定效应模型将药物过量死亡率(总体人群以及按性别、年龄和种族/族裔划分的亚人群)与各种毒品报告指标进行回归分析,这些指标包括每人口比率以及芬太尼/芬太尼相关化合物、海洛因、可卡因、甲基苯丙胺和赛拉嗪呈阳性的毒品报告的比例份额。
对于总体人群以及几乎所有按性别、种族/族裔和年龄划分的亚人群的药物过量死亡率,包含所有毒品报告比例指标的模型表现最佳(通过最低赤池信息准则和最高组内平方值确定),其次是仅包含芬太尼/芬太尼相关化合物比例的模型。
研究结果支持公开可用的毒品报告成分指标的实用性,特别是芬太尼/芬太尼相关化合物的比例,可作为美国及各亚人群药物过量死亡率的预测指标。