Evidence map›Paper›PMID 36455852›Full record

ArticleAnnals of epidemiology2023

Estimating the impact of the COVID-19 pandemic on rising trends in drug overdose mortality in the United States, 2018-2021.

Hyunjung Lee, Gopal K Singh

Abstract read
In one paragraph

Article in Annals of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  6. Systematic Review of Cocaine-Treatment Interventions for Black Americans.Clinical psychological science : a journal of the Association for Psychological Science · 2025
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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

2 authors.

Hyunjung LeeDepartment of Public Policy and Public Affairs, John McCormack Graduate School of Policy and Global Studies, University of Massachusetts Boston, Boston, MA. Electronic address: hyunjung.lee0001@gmail.com.
Gopal K SinghThe Center for Global Health and Health Policy, Global Health and Education Projects, Inc., Riverdale, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDuring the COVID-19 pandemic, social and economic disruption such as social isolation, job and income losses, and increased psychological distress, may have contributed to the increase in drug-overdose mortality. This study aims to measure the impact of the pandemic on monthly trends in drug-overdose mortality in the United States.

methodsWe used the 2018-2020 final and 2021 provisional monthly deaths from the National Vital Statistics System and monthly population estimates from the Census Bureau to compute monthly mortality rates by age, sex, and race/ethnicity. We use log-linear regression models to estimate monthly percent increases in mortality rates from January 2018 through November 2021.

resultsThe age-adjusted drug-overdose mortality rate among individuals aged older than or equal to 15 years increased by 30% between 2019 (70,459 deaths) and 2020 (91,536 deaths). During January 2018-November 2021, the monthly drug-overdose mortality rate increased by 2.05% per month for Blacks, 2.25% for American Indians/Alaska Natives, 1.96% for Hispanics, 1.33% for Asian/Pacific Islanders, and 0.96% for non-Hispanic Whites. Average monthly increases in mortality were most marked among those aged 15-24 and 35-44 years.

conclusionsThe COVID-19 pandemic had a substantial impact on the rising trends in drug-overdose mortality during the peak months in 2020 and 2021.

Indexed as

COVID-19Drug OverdoseEthnicityHumansPandemicsUnited StatesWhite PeopleAge-specificCOVID-19 pandemicDrug overdose mortalityMonthly trendRace/ethnicity

Identifiers

PMID36455852
PMCPMC9703855

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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.