Evidence map›Paper›PMID 23993281›Full record

ReviewLancet (London, England)2013

Global burden of disease attributable to illicit drug use and dependence: findings from the Global Burden of Disease Study 2010.

Louisa Degenhardt, Harvey A Whiteford, Alize J Ferrari, Amanda J Baxter, Fiona J Charlson, Wayne D Hall, Greg Freedman, Roy Burstein, Nicole Johns, Rebecca E Engell and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Lancet (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 368 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
368citing papers in PubMed, 15 pooled it
46.6field-weighted citation impact, top 1% of its field
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

368 citing papers in PubMed, 15 syntheses or guidelines pooled it, 841 citations in OpenAlex.

  1. Sustained-release naltrexone for opioid dependence.The Cochrane database of systematic reviews · 2025
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  4. Psychosocial interventions for stimulant use disorder.The Cochrane database of systematic reviews · 2024
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  5. Mental disorder and opioid overdose: a systematic review.Social psychiatry and psychiatric epidemiology · 2022
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308 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 3 countries.

Louisa DegenhardtNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia; Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia. Electronic address: l.degenhardt@unsw.edu.au.
Harvey A Whiteford
Alize J Ferrari
Amanda J Baxter
Fiona J Charlson
Wayne D Hall
Greg Freedman
Roy Burstein
Nicole Johns
Rebecca E Engell
Abraham Flaxman
Christopher J L Murray
Theo Vos
Institute for Health Metrics and Evaluation · USUniversity of Washington · USCentre for Mental Health · GBQueensland Centre for Mental Health Research · AUUniversity of Queensland · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo systematic attempts have been made to estimate the global and regional prevalence of amphetamine, cannabis, cocaine, and opioid dependence, and quantify their burden. We aimed to assess the prevalence and burden of drug dependence, as measured in years of life lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life years (DALYs).

methodsWe conducted systematic reviews of the epidemiology of drug dependence, and analysed results with Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) Bayesian meta-regression technique (DisMod-MR) to estimate population-level prevalence of dependence and use. GBD 2010 calculated new disability weights by use of representative community surveys and an internet-based survey. We combined estimates of dependence with disability weights to calculate prevalent YLDs, YLLs, and DALYs, and estimated YLDs, YLLs, and DALYs attributable to drug use as a risk factor for other health outcomes.

findingsIllicit drug dependence directly accounted for 20·0 million DALYs (95% UI 15·3-25·4 million) in 2010, accounting for 0·8% (0·6-1·0) of global all-cause DALYs. Worldwide, more people were dependent on opioids and amphetamines than other drugs. Opioid dependence was the largest contributor to the direct burden of DALYs (9·2 million, 95% UI 7·1-11·4). The proportion of all-cause DALYs attributed to drug dependence was 20 times higher in some regions than others, with an increased proportion of burden in countries with the highest incomes. Injecting drug use as a risk factor for HIV accounted for 2·1 million DALYs (95% UI 1·1-3·6 million) and as a risk factor for hepatitis C accounted for 502,000 DALYs (286,000-891,000). Suicide as a risk of amphetamine dependence accounted for 854,000 DALYs (291,000-1,791,000), as a risk of opioid dependence for 671,000 DALYs (329,000-1,730,000), and as a risk of cocaine dependence for 324,000 DALYs (109,000-682,000). Countries with the highest rate of burden (>650 DALYs per 100,000 population) included the USA, UK, Russia, and Australia.

interpretationIllicit drug use is an important contributor to the global burden of disease. Efficient strategies to reduce disease burden of opioid dependence and injecting drug use, such as delivery of opioid substitution treatment and needle and syringe programmes, are needed to reduce this burden at a population scale.

fundingAustralian National Health and Medical Research Council, Australian Government Department of Health and Ageing, Bill & Melinda Gates Foundation.

Indexed as

Cost of IllnessAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolFemaleGlobal HealthHumansInfantLife ExpectancyMaleMiddle AgedPersons with Disabilities

Identifiers

PMID23993281
OpenAlexW2011745000

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.