Evidence map›Paper›PMID 40859344›Full record

ArticleInjury epidemiology2025

Drug overdose deaths in Kentucky, 2019-2024: are we back to Pre-COVID-19 levels?

Aaron P Smith, Juan Lang, Carmen Canedo, Patricia R Freeman, Lindsey R Hammerslag, Daniel R Harris, Amber Kizewski, Peter Rock, Nima M Seyedtalebi, Philip M Westgate and 3 more

Abstract read
In one paragraph

Article in Injury epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

13 authors.

Aaron P SmithInstitute for Biomedical Informatics, University of Kentucky, 760 Press Ave, Lexington, KY, 40508, USA. aarsmith@uky.edu.
Juan LangDepartment of Biostatistics, College of Public Health, University of Kentucky, 260 Healthy Kentucky Research Bldg, Lexington, KY, 40536, USA.
Carmen CanedoInstitute for Biomedical Informatics, University of Kentucky, 760 Press Ave, Lexington, KY, 40508, USA.
Patricia R FreemanDepartment of Pharmacy Practice and Science, College of Pharmacy and Center on Drug and Alcohol Research, University of Kentucky, Lexington, KY, USA.
Lindsey R HammerslagInstitute for Biomedical Informatics, University of Kentucky, 760 Press Ave, Lexington, KY, 40508, USA.
Daniel R HarrisInstitute for Biomedical Informatics, University of Kentucky, 760 Press Ave, Lexington, KY, 40508, USA.
Amber KizewskiDepartment of Biostatistics, College of Public Health, University of Kentucky, 260 Healthy Kentucky Research Bldg, Lexington, KY, 40536, USA.
Peter RockInstitute for Biomedical Informatics, University of Kentucky, 760 Press Ave, Lexington, KY, 40508, USA.
Nima M SeyedtalebiInstitute for Biomedical Informatics, University of Kentucky, 760 Press Ave, Lexington, KY, 40508, USA.
Philip M WestgateDepartment of Biostatistics, College of Public Health, University of Kentucky, 260 Healthy Kentucky Research Bldg, Lexington, KY, 40536, USA.
Jeffery TalbertInstitute for Biomedical Informatics, University of Kentucky, 760 Press Ave, Lexington, KY, 40508, USA.
Sharon L WalshDepartment of Behavioral Science and Center on Drug and Alcohol Research, University of Kentucky, Lexington, KY, USA.
Svetla SlavovaDepartment of Biostatistics, College of Public Health, University of Kentucky, 260 Healthy Kentucky Research Bldg, Lexington, KY, 40536, USA. ssslav2@uky.edu.

Funding

Rapid Actionable Data for Opioid Response in Kentucky (RADOR-KY)R01DA057605 · NIDA · UNIVERSITY OF KENTUCKY · PI Svetla Stefanova Slavova, Jeffery C Talbert · 2022 to 2026
$6.0M
NIDA NIH HHS R01 DA057605NIH HHS R01DA057605U.S. Food and Drug Administration 75F40122C00193
6 · The paper itself

Abstract

backgroundKentucky has historically experienced a high burden of drug overdose deaths. During the first years of the COVID-19 pandemic, the state saw a 45% increase in overdose deaths in 2020, followed by an additional 15% increase in 2021. However, drug overdose deaths declined in 2023 and 2024. This study used electronic death certificate records from the Kentucky Office of Vital Statistics (2019-2024) to evaluate whether Kentucky's 2024 drug overdose death rates have declined to pre-pandemic levels and if declines were observed across all demographic groups. The results from Poisson regressions are reported as rate ratios (RRs) and their 95% confidence intervals (CIs).

findingsThe estimated 2024 crude drug overdose death rate (31.7/100,000) remained significantly higher than the 2019 rate (29.2/100,000; RR [CI] = 1.08 [1.01-1.17]; P = .035). Several demographic groups had sustained increases from 2019 to 2024: male (RR [CI] = 1.10 [1.00-1.21]), Black residents (RR [CI] = 1.56 [1.22-2.00]), residents aged 55-64 (RR [CI] = 1.41 [1.18-1.70]) and 65 or older (RR [CI] = 1.71 [1.25-2.33]), and residents of non-metropolitan counties (RR [CI] = 1.38 [1.22-1.57]). However, adults aged 25-34 experienced a significant decrease from 2019 to 2024 (RR [CI] = 0.77 [0.65-0.92]). The 2024 rate of fentanyl-involved overdose deaths was not statistically different from 2019 level [RR [CI] = 1.10 [1.00-1.22]; P = .051], but the psychostimulant-involved overdose death rate (RR [CI] = 1.45 [1.30-1.62]) was significantly higher.

conclusionsThe recent decline in drug overdose deaths is encouraging, but sustained increases in mortality rates among some demographic groups highlight the need for continued public health initiatives to prevent overdose deaths.

Indexed as

AgeCOVID-19 pandemic periodDrug overdose deathsFentanylOpioidsPsychostimulantsRaceRural/urbanSex

Identifiers

PMID40859344
PMCPMC12382091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.