Evidence map›Paper›PMID 42196712›Full record

ArticleInternational journal of environmental research and public health2026

Temporal Patterns of Alcohol- and Drug-Related Overdoses During the COVID-19 Pandemic: A National EMS-Based Study by Age and Gender in Israel.

Anna Khalemsky, Moshe Z Abramowitz, Roman Sonkin, Haim Y Knobler, Eli Jaffe

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Anna KhalemskyManagement Department, Jerusalem Multidisciplinary College, Jerusalem 91010, Israel.ORCID 0000-0002-0817-6575
Moshe Z AbramowitzHealth Management Department, Jerusalem Multidisciplinary College, Jerusalem 91010, Israel.ORCID 0000-0002-9791-6095
Roman SonkinCommunity Division, Magen David Adom, Or Yehuda 6021805, Israel.
Haim Y KnoblerHealth Management Department, Jerusalem Multidisciplinary College, Jerusalem 91010, Israel.
Eli JaffeCommunity Division, Magen David Adom, Or Yehuda 6021805, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic introduced unprecedented societal disruptions that may have altered patterns of acute substance-related harm. Despite extensive research on overdose mortality, there remains limited real-time, population-level evidence based on Emergency Medical Services (EMS) data. This study provides a national, multi-year characterization of temporal trends in alcohol- and drug-related overdose incidents in Israel across thirteen defined pandemic phases. A total of 18,348 overdose cases recorded between 1 January 2019 and 31 December 2022 were analyzed. Descriptive statistics were calculated, event frequencies were normalized by period length, and loglinear Poisson models were applied to compare occurrences across periods. Cluster analysis was used to explore joint age- and gender-related patterns. Alcohol-related overdoses demonstrated marked fluctuations across pandemic phases, whereas drug-related overdoses showed comparatively moderate variation and a gradual increase over time. Age- and gender-specific heterogeneity was observed across periods. As an observational study based on EMS records, causal inference cannot be established. These findings provide population-level surveillance evidence of dynamic overdose patterns during prolonged societal disruption and highlight the importance of integrating EMS-based monitoring into public health preparedness strategies.

Indexed as

COVID-19Drug OverdoseEmergency Medical ServicesAdolescentAgedAge FactorsFemaleHumansIsraelMaleMiddle AgedPandemicsSex Factorsage differencesalcohol-related emergenciesCOVID-19 pandemicdrug-related emergenciesemergency medical servicesgender differencespopulation surveillancepublic health monitoringsubstance overdose

Identifiers

PMID42196712
PMCPMC13207172

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Registered trials

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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.