ArticleSubstance use & misuse2019
Planned and Unplanned Drug Use during a Night out at an Electronic Dance Music Party.
Article in Substance use & misuse, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Trial
- Recreational Drug Use at a Music Festival: A Dual Approach Using Hair Biomarkers Analysis and Participant Self-Reported Drug Use.Drug testing and analysis · 2026Article
- A systematic review of literature on substance use in nightlife settings utilizingDrug and alcohol dependence reports · 2025Review
- "You have to love the party setting": an ethnography of the blurred lines between roles and experiential knowledge in a French harm reduction collective working in the party setting.Harm reduction journal · 2025Article
- Drug testing after use: what insights can be gained from a harm reduction perspective on visitors of the drugs information and monitoring system (DIMS) in the Netherlands?Harm reduction journal · 2025Article
- The theory of preloading: A cognitive-behavioural motivational model.Harm reduction journal · 2024Article
- Prevalence of self-reported adverse effects associated with drug use among nightclub and festival attendees, 2019-2022.Drug and alcohol dependence reports · 2023Article
- Media coverage about medical benefits of MDMA and ketamine affects perceived likelihood of engaging in recreational use.Addiction research & theory · 2022Article
- Drug checking at dance festivals: A review with recommendations to increase generalizability of findings.Experimental and clinical psychopharmacology · 2021Review
- Non-Consensual Sexual Contact at Electronic Dance Music Parties.Archives of sexual behavior · 2020Article
- The influence of viewing a headline about ecstasy/Molly adulteration on future intentions to use.Journal of substance use · 2020Article
- Diffusion of Ecstasy in the Electronic Dance Music Scene.Substance use & misuse · 2020Article
- On the efficacy of online drug surveys during the time of COVID-19.Substance abuse · 2020Article
- Increasing Willingness to Use Synthetic Drugs if Offered among Electronic Dance Music Party Attendees, 2017-2019.Journal of psychoactive drugsArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundElectronic dance music (EDM) parties at nightclubs and festivals are high-risk scenes for drug use. Although intention to use drugs (such as ecstasy) has been shown to be the most proximal determinant of use, little is known regarding the extent to which drug use is unplanned in this high-risk scene.
methodsWe surveyed 954 adults entering EDM parties in New York City in 2017 and asked about planned drug use that night. A quarter (n = 236) completed the optional online follow-up survey which asked about drug use during their outing. We examined prevalence and correlates of planned and unplanned use.
resultsA fifth (21.0%) of attendees reported planning to use a specific drug the night of the party and over a third (35.4%) reported using a drug later that night. A quarter (26.6%) used in an unplanned manner. Unplanned marijuana use was most common (10.7%), followed by unplanned use of ecstasy (7.3%), cocaine (4.7%), amphetamine (1.4%), LSD (1.3%), and MDA (1.1%). Unplanned initiation of ecstasy and PMA also occurred. Unplanned drug use was more likely to occur among those recruited outside of nightclubs compared to festivals. Non-heterosexual participants and those with a college degree or higher were also more likely to engage in unplanned marijuana use compared to heterosexual and less educated participants, respectively.
conclusionsUnplanned drug use is common at EDM parties. Results can inform prevention and harm reduction in these scenes as unplanned use may exacerbate potential adverse outcomes related to drug use and often extreme party environments.
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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.