ArticleDrug and alcohol dependence2021
Number of opioid overdoses and depression as a predictor of suicidal thoughts.
Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Suicidal ideation, mental health services, and barriers to care among syringe services program clients who use opioids.PloS one · 2026Article
- Elevated rate of suicide risk in individuals with opioid use disorder.The American journal on addictions · 2025Article
- Anxiety and depression in Chinese cataract patients: a network analysis.BMC psychology · 2024Article
- Suicidality and homelessness: prevalence and associated factors of suicidal behaviour among homeless young adults in Southern Ethiopia.BMC psychology · 2023Article
- INDIVIDUALIZED RISK ASSESSMENT OF PREOPERATIVE OPIOID USE BY INTERPRETABLE NEURAL NETWORK REGRESSION.The annals of applied statistics · 2023Article
- Network analysis of anxiety and depression in the functionally impaired elderly.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundOpioid use disorders are associated with increased risk of suicide thoughts, attempts, and death. We explored key variables from two theories of the development of suicidal thoughts and attempts (the interpersonal and three-step theories of suicide) to understand possible mechanisms underlying the association between opioid use and suicide risk. We hypothesized that interpersonal connections, variables reflecting psychological and physical pain, and variables that reduce fear of death (prior overdoses and risk-taking behaviors) would be associated with increased risk of thoughts of suicide.
methodsParticipants (N = 141) were opioid users recruited from an epicenter of the opioid crisis in Philadelphia using a mobile research center and completed an interview to assess substance use, depression, medical comorbidities, and suicidal thoughts among other variables.
resultsUnivariate analyses showed that prior history of overdose, diagnosis of depression, older age, homelessness, and interpersonal connection were each associated with increased likelihood of endorsing thoughts of death/suicide. Multivariable analyses revealed prior history of overdose and depression were the variables most strongly associated with risk for thoughts of suicide.
conclusionsConsistent with two theories of the development of suicidal thoughts and attempts, exposure to variables that reduce fear of death (e.g., overdoses) were associated with suicidal thoughts. In contrast, other risk-taking behaviors, medical comorbidities, and substance use were not key predictors of suicidal thoughts in this sample. Implications for targeted risk assessment among clinicians are discussed.
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What OpenQuestion holds
Registered trials
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.