Evidence map›Paper›PMID 38729890›Full record

ArticleThe International journal on drug policy2025

Leveraging pooled medical examiner records to surveil complex and emerging patterns of polysubstance use in the United States.

Chelsea L Shover, Joseph R Friedman, Ruby Romero, Sergio Jimenez, Jacqueline Beltran, Candelaria Garcia, David Goodman-Meza

Abstract read
In one paragraph

Article in The International journal on drug policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chelsea L ShoverDavid Geffen School of Medicine at University of California Los Angeles, Division of General Internal Medicine and Health Services Research, United States. Electronic address: clshover@mednet.ucla.edu.
Joseph R FriedmanDavid Geffen School of Medicine at University of California Los Angeles, Center for Social Medicine, United States.
Ruby RomeroDavid Geffen School of Medicine at University of California Los Angeles, Division of General Internal Medicine and Health Services Research, United States.
Sergio JimenezFielding School of Public Health at University of California Los Angeles, Department of Epidemiology, United States.
Jacqueline BeltranFielding School of Public Health at University of California Los Angeles, Department of Community Health Sciences, United States.
Candelaria GarciaFielding School of Public Health at University of California Los Angeles, Department of Epidemiology, United States.
David Goodman-MezaDavid Geffen School of Medicine at University of California Los Angeles, Division of Infectious Diseases.

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Predicting fatal and non-fatal overdose in Los Angeles County with Rapid Overdose Surveillance Dashboard to target street-based addiction treatment and harm reduction servicesR01DA057630 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David Goodman, Chelsea Leigh Shover · 2022 to 2026
$2.9M
Using data science to measure the impact of opioid agonist therapy in patients admitted with Staphylococcus aureus bloodstream infectionsK08DA048163 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GOODMAN, DAVID · 2019 to 2023
$1.0M
Adoption and scale-up of long-acting medications for opioid use disorder by U.S. clinicians.K01DA050771 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHOVER, CHELSEA LEIGH · 2021 to 2025
$893k
NIDA NIH HHS K01 DA050771NIDA NIH HHS K08 DA048163NIDA NIH HHS R01 DA057630NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

backgroundThe United States (US) is an extreme global outlier for drug-related death rates. However, data describing drug-related deaths are generally available only on an 8-13-month lag. Furthermore, granular details about substance-involvement are often not available, which particularly stymies efforts to track fatal polysubstance and novel psychoactive substance use. Detailed medical examiner records provide a powerful source of information for drug-related death surveillance, but have been underutilized.

methodsWe pooled medical examiner data from five US states and 14 counties that together comprise 18% of the US population to examine demographic, geographic, and drug-specific trends in polysubstance drug-related deaths. We employed mixed effects logistic regression to identify demographic factors associated with polysubstance rather than single substance drug-related deaths. We assessed the correlations between drug classes and described geographic variation in the prevalence of specific drugs and the presence of novel and emerging psychoactive substances.

resultsOur sample included 73,077 drug-related deaths from 2012 through early 2022. Nearly two-thirds of drug-related deaths were polysubstance-involved, with the number and percentage growing annually. High percentages of polysubstance drug-related deaths were observed in both urban and rural jurisdictions. After adjusting for year and jurisdiction, female, American Indian and Alaska Native, and White individuals had the most elevated odds of polysubstance drug-related deaths. Drug-related deaths involving benzodiazepines or opioids, whether pharmaceutical or illicit, and other pharmaceutical drugs were most likely to have polysubstance involvement, while methamphetamine-involved deaths were least likely to involve multiple substances. Strong correlations were observed between prescription opioids and prescription benzodiazepines, fentanyl and xylazine, and designer benzodiazepines and novel synthetic opioids.

conclusionsAnalysis of detailed medical examiner records reveals the breadth and complexity of polysubstance drug-related deaths in the US. Future efforts to use this unique resource can improve population-based surveillance of drug-related deaths to better tailor interventions and solutions to this critical health crisis.

Indexed as

Coroners and Medical ExaminersIllicit DrugsSubstance-Related DisordersAdolescentAdultAgedDrug OverdoseFemaleHumansMaleMiddle AgedPopulation SurveillancePsychotropic DrugsUnited StatesYoung AdultIllicit DrugsPsychotropic DrugsBenzodiazepinesEpidemiologyOpioidsPolysubstanceStimulants

Identifiers

PMID38729890
PMCPMC12376971

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.