ReviewPreventive medicine reports2026
Defining nonfatal opioid overdoses using administrative health data in the United States and Canada: A scoping review.
Review in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Objective: To explore definitions of nonfatal opioid overdoses with study populations based in the United States and Canada, to improve nonfatal overdose monitoring. Methods: We searched five databases: PubMed, Medline, Web of Science, Embase, and PsycInfo, including studies published between January 2013-October 2024. We combined overdose-related terms (e.g., overdose, poisoning) and hospital-related terms (e.g., diagnosis code, International Classification of Diseases [ICD], electronic health records) and extracted data from 214 studies that defined opioid overdoses. Results: Most studies reported on opioid overdoses due to any opioid ( Conclusions: We observed substantial variation in definitions. Detailed, standardized reporting methods when applying diagnostic codes may improve consistency and transparency and could improve public health monitoring.
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Registered trials
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.