ArticleThe International journal on drug policy2020
Leveraging crowdsourcing methods to collect qualitative data in addiction science: Narratives of non-medical prescription opioid, heroin, and fentanyl use.
Article in The International journal on drug policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The trial behind it
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Who cites it
13 citing papers in PubMed.
- Effect of brief nicotine corrective messaging on nicotine beliefs in persons who use opioids.Experimental and clinical psychopharmacology · 2022Trial
- Perception of Resource Allocations to Address the Opioid Epidemic.Journal of addiction medicineTrial
- Opioid Use Among Individuals in Intimate Relationships.Couple & family psychology · 2025Article
- Exploring the Lived Experiences of Medication for Opioid use Disorder Treatment: A Qualitative Study among a Crowdsourced Convenience Sample.Community mental health journal · 2025Article
- Next-day responsibilities attenuate demand for alcohol among a crowdsourced sample of community adults.Experimental and clinical psychopharmacology · 2023Article
- A cross-sectional survey on cannabis: Characterizing motives, opinions, and subjective experiences associated with the use of various oral cannabis products.Drug and alcohol dependence · 2023Article
- Quality of Life and Opioid Use Motives: Direct and Indirect Associations with Risky Opioid Use in a Community Sample of Adults.Substance use & misuse · 2022Article
- Consuming illicit opioids during a drug overdose epidemic: Illicit fentanyls, drug discernment, and the radical transformation of the illicit opioid market.The International journal on drug policy · 2022Article
- Comparing the feasibility of four web-based recruitment strategies to evaluate the treatment preferences of rural and urban adults who misuse non-prescribed opioids.Preventive medicine · 2021Article
- "How will I get my next week's script?" Reactions of Reddit opioid forum users to changes in treatment access in the early months of the coronavirus pandemic.The International journal on drug policy · 2021Article
- Article
- Social Capital-Accrual, Escape-From-Self, and Time-Displacement Effects of Internet Use During the COVID-19 Stay-at-Home Period: Prospective, Quantitative Survey Study.Journal of medical Internet research · 2020Article
- State pain management clinic policies and county opioid prescribing: A fixed effects analysis.Drug and alcohol dependence · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundOnline crowdsourcing methods have proved useful for studies of diverse designs in the behavioral and addiction sciences. The remote and online setting of crowdsourcing research may provide easier access to unique participant populations and improved comfort for these participants in sharing sensitive health or behavioral information. To date, few studies have evaluated the use of qualitative research methods on crowdsourcing platforms and even fewer have evaluated the quality of data gathered. The purpose of the present analysis was to document the feasibility and validity of using crowdsourcing techniques for collecting qualitative data among people who use drugs.
methodsParticipants (N = 60) with a history of non-medical prescription opioid use with transition to heroin or fentanyl use were recruited using Amazon Mechanical Turk (mTurk). A battery of qualitative questions was included indexing beliefs and behaviors surrounding opioid use, transition pathways to heroin and/or fentanyl use, and drug-related contacts with structural institutions (e.g., health care, criminal justice).
resultsQualitative data recruitment was feasible as evidenced by the rapid sampling of a relatively large number of participants from diverse geographic regions. Computerized text analysis indicated high ratings of authenticity for the provided narratives. These authenticity percentiles were higher than the average of general normative writing samples as well as than those collected in experimental settings.
conclusionsThese findings support the feasibility and quality of qualitative data collected in online settings, broadly, and crowdsourced settings, specifically. Future work among people who use drugs may leverage crowdsourcing methods and the access to hard-to-sample populations to complement existing studies in the human laboratory and clinic as well as those using other digital technology methods.
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