Literature DB >> 35364419

Estimated number of injection-involved drug overdose deaths, United States, 2000 - 2018.

Eric W Hall1, Eli S Rosenberg2, Christopher M Jones3, Alice Asher4, Eduardo Valverde4, Heather Bradley5.   

Abstract

BACKGROUND: In the United States, drug overdose mortality has increased. Death records categorize overdose deaths by type of drug involved, but do not include information about the route of drug administration.
METHODS: We utilized data from drug treatment admissions (Treatment Episodes Dataset, TEDS-A) and National Vital Statistics Systems to estimate the percentage of reported drug overdose deaths that were injection-involved from 2000 to 2018 in the U.S. Data on reported route of administration at admission were used to calculate the percent injecting each drug type, by demographic group (race/ethnicity, sex, age group) and year. Using the resulting probabilities, we estimated the number of overdose deaths that were injection-involved. Estimates were compared across drug types, demographic characteristics, and year.
FINDINGS: The number of overdose deaths among adults increased more than 3-fold from 2000 (n = 17,196) to 2018 (n = 67,021). During that timeframe, the number of estimated injection-involved overdose deaths increased more than 8-fold from 2000 (n = 3467, 95% CI: 3449-3485) to 2018 (n = 28,257, 95% CI: 28,192-28,322). From 2000-2007, the percent of overdose deaths that were injection-involved remained stable around 20%. From 2007-2018, the percent of overdose deaths that were injection-involved increased from 18.4% (95% CI: 18.3-18.6%) to 42.2% (95% CI: 42.1-42.3%). In 2018, most estimated injection-involved overdose deaths were due to injecting heroin/synthetic opioids (n = 24,860, 95% CI: 24,800-24,919), which accounted for 88.0% of all injection-involved deaths.
CONCLUSIONS: Much of the recent increase in overdose mortality is likely attributable to rising injection-involved overdose deaths.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drug overdose; Injections; Mortality

Mesh:

Substances:

Year:  2022        PMID: 35364419     DOI: 10.1016/j.drugalcdep.2022.109428

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.852


  1 in total

1.  Natural Language Processing and Machine Learning to Identify People Who Inject Drugs in Electronic Health Records.

Authors:  David Goodman-Meza; Amber Tang; Babak Aryanfar; Sergio Vazquez; Adam J Gordon; Michihiko Goto; Matthew Bidwell Goetz; Steven Shoptaw; Alex A T Bui
Journal:  Open Forum Infect Dis       Date:  2022-09-12       Impact factor: 4.423

  1 in total

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