Evidence map›Paper›PMID 41034814›Full record

ArticleBMC public health2025

Global burden, socioeconomic disparities, and spatiotemporal dynamics of opioid use disorder mortality and disability: a comprehensive analysis from the global burden of disease study 2017-2021.

Jianhua Zhang, Ruoxuan Liu, Xue Wang, Leiguang Zhang, Weidong Pei, Junqing Hou, Song Li

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Jianhua Zhang *Department of Urology, Kaifeng155 Hospital, China RongTong Medical Healthcare Group Co.Ltd, Kaifeng, 475000, China.
Ruoxuan Liu *Department of Surgery, Huaihe Hospital of Henan University, Kaifeng, 475000, China.
Xue Wang *Ultrasound Medicine Department, Yellow River Central Hospital, Zhengzhou, 450001, China.
Leiguang ZhangDepartment of Urology, Kaifeng155 Hospital, China RongTong Medical Healthcare Group Co.Ltd, Kaifeng, 475000, China.
Weidong PeiDiscipline Construction Department, China RongTong Medical Healthcare Group Co.Ltd, Chengdu, 610000, China. peiwd@aliyun.com.
Junqing HouDepartment of Urology, Kaifeng155 Hospital, China RongTong Medical Healthcare Group Co.Ltd, Kaifeng, 475000, China. Hjq0418@sina.com.
Song LiDepartment of Urology, Kaifeng155 Hospital, China RongTong Medical Healthcare Group Co.Ltd, Kaifeng, 475000, China. 739026255@qq.com.

Funding

Henan Medical Technology Public Relations Plan Project LHGJ20220668, LHGJ20220667Key R&D and Promotion Projects in Henan Province 252102310068Key Research Projects of Higher Education Institutions in Henan Province 23A320039
6 · The paper itself

Abstract

backgroundThe escalating global burden of opioid use disorder (OUD) necessitates a nuanced understanding of its epidemiological patterns, socioeconomic determinants, and temporal trends. This study quantifies the global, regional, and national burden of OUD-related mortality and disability, evaluates policy correlates, and identifies critical disparities across demographic and socioeconomic strata.

methodsUsing data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017–2021, we analyzed age-standardized mortality rates (ASMRs), disability-adjusted life years (DALYs), and their 95% uncertainty intervals (UIs) across 204 countries and territories. Joinpoint regression modeled temporal trends, while multivariable generalized estimating equations (GEEs) assessed socioeconomic gradients via the Socio-demographic Index (SDI). Geospatial clustering was evaluated using Moran’s I statistic. Robustness was confirmed through sensitivity analyses, counterfactual modeling, and cross-validation.

resultsGlobally, OUD mortality increased by 12.4% between 2017 and 2021, with the Americas remaining the epicenter (ASMR: 5.72 per 100,000; +47.3% deaths). Europe demonstrated progress (mortality decline: -1.8%), while Asia and Africa faced rising chronic disability (DALYs: +3.0% and + 10.2%, respectively). National-level extremes ranged from 0.01 per 100,000 in Japan to 7.16 per 100,000 in Canada. A pronounced socioeconomic gradient emerged: high-SDI regions exhibited 17.8-fold higher mortality rates (0.641% vs. 0.036% in low-SDI regions) and 13.9-fold greater DALY rates. Sex disparities persisted (male-to-female mortality ratio: 4.7:1), with males experiencing biphasic trends (+ 3.8% annual percent change [APC] pre-2020, -6.5% post-2020). Geospatial analyses revealed diverging trajectories, including rising mortality in the Americas (+ 4.2% APC) and declines in Africa (-3.1% APC).

conclusionThis study highlights stark regional and socioeconomic disparities in the OUD burden, exacerbated by synthetic opioid proliferation in high-income settings and chronic disability in resource-limited regions. Evidence-based harm reduction policies in high-SDI nations mitigated disability, while low-SDI regions faced accelerating crises. Targeted interventions addressing socioeconomic inequities, gender-specific risks, and geospatial vulnerabilities are urgently needed to curb the global opioid epidemic.

Indexed as

Global Burden of DiseaseGlobal HealthOpioid-Related DisordersPersons with DisabilitiesDisability-Adjusted Life YearsFemaleHumansMaleSocioeconomic Disparities in HealthSocioeconomic FactorsSpatio-Temporal AnalysisDisability-adjusted life years (DALYs)Global burden of diseaseHealth disparitiesMortalityOpioid use disorder

Identifiers

PMID41034814
PMCPMC12486567

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.