Evidence map›Paper›PMID 35112757›Full record

ArticleAddiction (Abingdon, England)2022

Risk of self-harm or suicide associated with specific drug use disorders, 2004-2016: a population-based cohort study.

Yi Chai, Hao Luo, Yue Wei, Sherry K W Chan, Kenneth K C Man, Paul S F Yip, Ian C K Wong, Esther W Chan

Abstract read
PubMed Publisher
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  4. Single and Unhoused Population at Risk for Self-Inflicted Burn Injury: A Retrospective Analysis of an Urban American Burn Center's Experience.Journal of burn care & research : official publication of the American Burn Association · 2025
    Article
  5. Rare but Relevant: Characterizing Self-Inflicted Burn Injuries in the United States.Journal of burn care & research : official publication of the American Burn Association · 2025
    Review
  6. Article
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yi ChaiDepartment of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-9191-2341
Hao LuoDepartment of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-4261-3414
Yue WeiCentre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-8763-6786
Sherry K W ChanThe State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-2712-5826
Kenneth K C ManCentre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-8645-1942
Paul S F YipDepartment of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-1596-4120
Ian C K WongCentre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-8242-0014
Esther W ChanCentre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-7602-9470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDrug use disorders are associated with increased risk of self-harm. Risk differences associated with specific types of drug use disorders are yet to be comprehensively reported. This study aimed to examine the risk of self-harm or suicide associated with different drug use disorders in Hong Kong.

designPopulation-based cohort study.

settingThe Clinical Data Analysis and Reporting System (CDARS) managed by the Hong Kong Hospital Authority.

participantsCases were people ages 10 years or older who visited a hospital Accident and Emergency department between 1 January, 2004 and 31 December, 2016 with any of 10 specific drug use disorders (comprising opioid; ketamine; methamphetamine; sedative, hypnotic, or anxiolytic; amphetamine or related stimulant; cocaine; cannabis; hallucinogen; unspecified or other drug; and polydrug). Each case was matched with two controls, selected from a subset of people in CDARS sharing the same gender, age and psychiatric profile. A total of 8270 cases and 16 540 matched controls were included. MEASUREMENTS: Incidence and adjusted hazard ratio (aHR) of subsequent self-harm or suicide for each specific drug use disorder were estimated.

findingsThe most prevalent drug use disorder was opioid use disorder (2523; 30.51%) and the least prevalent was hallucinogen use disorder (77; 0.93%). The crude incidence of self-harm or suicide ranged from 26.57 (95% CI, 14.23-44.55) per 1000 person-years for cannabis use disorder to 91.97 (77.32-108.37) for polydrug use disorder. The highest risk of self-harm or suicide was observed in ketamine (aHR, 16.36; 95% CI, 11.03-24.29) and opioid (15.97; 10.73-23.23) use disorders.

conclusionsIn Hong Kong, all types of drug use disorders appear to be significantly associated with increased risk of self-harm or suicide, but risk levels vary by type of drug use disorder.

Indexed as

HallucinogensKetamineSelf-Injurious BehaviorSubstance-Related DisordersSuicideAnalgesics, OpioidChildCohort StudiesHumansRisk FactorsAnalgesics, OpioidHallucinogensKetamineCDARSdrug use disordersHong Kongpsychiatric disordersself-harmsubstance use disorderssuicide

Identifiers

PMID35112757

What OpenQuestion holds

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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.