Evidence map›Paper›PMID 39802307›Full record

ArticleEClinicalMedicine2025

Global, regional, and national trends in drug use disorder mortality rates across 73 countries from 1990 to 2021, with projections up to 2040: a global time-series analysis and modelling study.

Soeun Kim, Hayeon Lee, Selin Woo, Hyeri Lee, Jaeyu Park, Tae Kim, Guillaume Fond, Laurent Boyer, Masoud Rahmati, Lee Smith and 7 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Article
  8. Temporal trends and patterns in neonatal sepsis mortality across 194 countries, 2000-2021, with projections up to 2050.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  9. The mechanism of the JNK signaling pathway in drug addiction : Author list.Journal of molecular medicine (Berlin, Germany) · 2026
    Review
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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

17 authors.

Soeun KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyeri LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Tae KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea.
Guillaume FondCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, Marseille, France.
Laurent BoyerCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, Marseille, France.
Masoud RahmatiCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, Marseille, France.
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
Guillermo F López SánchezDivision of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain.
Elena DragiotiResearch Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece.
Christa J NehsDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jinseok LeeDepartment of Biomedical Engineering, Kyung Hee University College of Electronics and Information, Yongin, South Korea.
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jiseung KangDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Drug use disorder (DUD) poses a major public health crisis globally, necessitating immediate attention to global trends and future projections to develop effective health policies and interventions. Thus, we aimed to estimate the global trends in DUD mortality rates from 1990 to 2021 and future projections of DUD deaths until 2040 across 73 countries. Methods: In this time-series analysis and modelling study, we investigated the global trends in DUD mortality rates from 1990 to 2021 using the WHO Mortality Database and forecasted future trends through 2040. Global trend analysis was analysed using a locally weighted scatter plot smoother (LOESS) curve, and future projections were calculated based on a Bayesian age-period-cohort analysis. In addition, we performed a decomposition analysis to identify the variations in DUD deaths, specifically examining factors such as population growth, ageing, and epidemiological changes. Findings: Of the 73 countries included in the analysis of DUD mortality, 45 were high-income countries (HICs), and 28 were low to middle-income countries (LMICs). The LOESS estimates of the global DUD mortality rate were 1.84 deaths per 1,000,000 people (95% CI, -0.44 to 4.12) in 1990 and 13.09 deaths per 1,000,000 people (95% CI, 10.74-15.43) in 2021. Notably, HICs showed a significant increase in DUD mortality from 1.43 deaths per 1,000,000 people (95% CI, -1.55 to 4.42) in 1990 to 17.19 deaths per 1,000,000 people (95% CI, 13.84-20.53) in 2021. A significant increase in DUD mortality was observed among individuals aged 25-64 and males. Our analysis also identified associations between DUD mortality rates and several log-transformed parameters, including Human Development Index (β, 14.92; p < 0.0001), Socio-demographic Index (β, 11.80; p < 0.0001), reverse Gender Gap Index (β, -12.02; p < 0.0001), and Gini coefficient (β, -1.84; p < 0.0001). From 1990 to 2021, the increase in the number of DUD deaths globally can be attributed to two prominent factors: epidemiological change and population growth. In HICs, the impacts of epidemiological changes for increasing DUD mortality rates were particularly prominent compared to other factors. In the Bayesian age-period-cohort models, the predicted number of global DUD deaths up to 2040 were estimated to increase from 25.95 deaths per 1,000,000 people (95% credible interval [CrI], 24.72-27.28) in 2021 to 38.45 (95% CrI, 30.48-49.33) in 2030, and 42.43 (95% CrI, 23.67-77.77) in 2040. Interpretation: An increasing trend in global DUD mortality was observed from 1990 to 2021, especially in HICs. Future DUD deaths were also predicted to increase until 2040 at the global level. Therefore, these findings suggest urgent and proactive strategies for DUD to reduce the mortality rates related to DUD are needed. However, further prospective research that accounts for potential confounding factors, such as socioeconomic variables and the quality of reporting data from individual countries, is imperative for more accurate estimation. Funding: National Research Foundation and Ministry of Science and ICT of South Korea.

Indexed as

Drug useGlobal trendMortalityPrediction model

Identifiers

PMID39802307
PMCPMC11720110

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.