Overdose from Unintentional Fentanyl Use when Intending to Use a Non-opioid Substance: An Analysis of Medically Attended Opioid Overdose Events

Author:

Bazazi Alexander R.,Low Patrick,Gomez Bryson O.,Snyder Hannah,Hom Jeffrey K.,Soran Christine S.,Zevin Barry,Mason Michael,Graterol Joseph,Coffin Phillip O.

Abstract

AbstractFentanyl-mixed and substituted heroin is well-documented, but less is known about unintentional fentanyl use among people using stimulants. To determine the prevalence of and racial and ethnic disparities in unintentional fentanyl use among people experiencing a medically attended opioid overdose, we reviewed 448 suspected non-fatal overdose cases attended by a community paramedic overdose response team in San Francisco from June to September 2022. We applied a case definition for opioid overdose to paramedic records and abstracted data on intended substance use prior to overdose. Among events meeting case criteria with data on intended substance use, intentional opioid use was reported by 57.3%, 98.0% of whom intended to use fentanyl. No intentional opioid use was reported by 42.7%, with most intending to use stimulants (72.6%), including methamphetamine and cocaine. No intentional opioid use was reported by 58.5% of Black, 52.4% of Latinx, and 28.8% of White individuals (p = 0.021), and by 57.6% of women and 39.5% of men (p = 0.061). These findings suggest that unintentional fentanyl use among people without opioid tolerance may cause a significant proportion of opioid overdoses in San Francisco. While intentional fentanyl use might be underreported, the magnitude of self-reported unintentional use merits further investigation to confirm this phenomenon, explore mechanisms of use and disparities by race and ethnicity, and deploy targeted overdose prevention interventions.

Publisher

Springer Science and Business Media LLC

Reference24 articles.

1. Ahmad FB, Cisewski JA, Rossen LM, Sutton P. Provisional drug overdose death counts. National vital statistics system, national center for health statistics. 2024. https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm. Accessed 15 Feb 2024.

2. Rodda LN. Accidental drug overdose data reports for January 2022 through December 2022. Office of the Chief Medical Examiner, Forensic Laboratory Division, City and County of San Francisco. 2024. https://www.sf.gov/sites/default/files/2024-01/2022_OCME%20Overdose%20Report%2020240109.pdf. Accessed 15 Feb 2024.

3. Anderson N, McMahan V, Coffin PO. Substance use trends in San Francisco through 2022. Center on Substance Use and Health, Department of Public Health, City and County of San Francisco. 2023. https://www.csuhsf.org/_files/ugd/91710f_ea77b3b62d81455c8143aa2f97b2d5d5.pdf. Accessed 15 Feb 2024.

4. Kariisa M, Davis NL, Kumar S, et al. Vital signs: drug overdose deaths, by selected sociodemographic and social determinants of health characteristics - 25 states and the District of Columbia, 2019–2020. MMWR Morb Mortal Wkly Rep. 2022;71(29):940–7.

5. O’Donnell J, Gladden RM, Mattson CL, Hunter CT, Davis NL. Vital signs: characteristics of drug overdose deaths involving opioids and stimulants - 24 states and the District of Columbia, January-June 2019. MMWR Morb Mortal Wkly Rep. 2020;69(35):1189–97.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3