Evidence map›Paper›PMID 41905283›Full record

ArticleDrug and alcohol dependence2026

"When" matters: Differences in fatal opioid-related overdose events in Massachusetts by time of day, 2019-2023.

William E Soares, Olivia Lewis, Shikhar Shrestha, Thomas J Stopka, Peter D Friedmann

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

William E SoaresDepartment of Healthcare Delivery and Population Science, University of Massachusetts Chan Medical School - Baystate, Springfield, MA, United States. Electronic address: william.soaresmd@baystatehealth.org.
Olivia LewisDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.
Shikhar ShresthaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.
Thomas J StopkaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.
Peter D FriedmannDepartment of Healthcare Delivery and Population Science, University of Massachusetts Chan Medical School - Baystate, Springfield, MA, United States.

Funding

MassHEAL - Reducing overdose deaths by 40% (2019-2023)UM1DA049412 · NIDA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2019 to 2023
$82.9M
NIDA NIH HHS UM1 DA049412
6 · The paper itself

Abstract

backgroundGeospatial analyses of opioid involved overdose deaths can inform community harm reduction efforts. Differences in overdose deaths by time of day are important, as overdose events may be more likely to go unrecognized at night when fewer community resources are available.

methodsUsing Massachusetts Registry of Vital Records and Statistics data (2019-2023), we utilized regression analyses to evaluate demographics, residence, and toxicology differences associated with the recorded time of opioid involved overdose deaths, stratified by day (6AM-5:59PM) and night (6PM-5:59AM). Kernel density estimates and hotspot clusters assessed location differences and proximity to opioid treatment resources.

resultsOf 9539 opioid-involved overdose deaths, 6255 (65.6%) occurred during daytime hours and 3284 (34.4%) at night. Non-Hispanic Black individuals (OR 1.14; 95%CI 1.01-1.28) and married individuals (OR 1.19; 95%CI 1.04-1.35) were more likely to have a recorded time of overdose death at night. Alcohol was more likely to be present among people who experienced an opioid involved overdose death at night (OR 1.23; 95%CI 1.11-1.37). Decedents were more likely to have the hospital as their location of death at night (OR 2.24, 95%CI 2.01-2.48). Proximity to treatment and harm reduction resources did not differ by time of day (OR 1.02, 95%CI 0.88-1.13).

conclusionsWhile time of day was not associated with differences in proximity to opioid treatment resources, several demographic and toxicology characteristics were associated with opioid-involved overdose deaths at night. Harm reduction strategies must evolve beyond "where" services are located to address when and how harm reduction is delivered.

Indexed as

Analgesics, OpioidDrug OverdoseOpiate OverdoseOpioid-Related DisordersAdultFemaleHumansMaleMassachusettsMiddle AgedRegistriesTime FactorsYoung AdultAnalgesics, OpioidGeospatial analysesHarm reductionOpioid involved fatal overdose

Identifiers

PMID41905283
PMCPMC13175057

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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.