Evidence map›Paper›PMID 37025564›Full record

ArticleDrug and alcohol dependence reports2023

Prevalence of self-reported adverse effects associated with drug use among nightclub and festival attendees, 2019-2022.

Joseph J Palamar, Austin Le

Open access · goldAbstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2023. 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
2.2field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Joseph J PalamarNew York University Grossman School of Medicine, Department of Population Health, 180 Madison Avenue, Room 1752, New York, NY 10016, USA.
Austin LeNew York University Grossman School of Medicine, Department of Population Health, 180 Madison Avenue, Room 1752, New York, NY 10016, USA.
New York University · US

Funding

Drug use among nightclub and dance festival attendees in New York CityR01DA044207 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PALAMAR, JOSEPH J · 2018 to 2021
$1.5M
NIDA NIH HHS R01 DA044207
6 · The paper itself

Abstract

Background: Research investigating adverse effects from drug use has focused extensively on poisonings and mortality. This study focuses on drug-related adverse effects not necessarily resulting in hospitalization or death among a population known for high prevalence of party drug use-electronic dance music (EDM) nightclub and festival attendees. Methods: Adults entering EDM venues were surveyed in 2019-2022 ( Results: Almost half (47.6%) of adverse effects involved alcohol and 19.0% involved cannabis. 27.6% of those using alcohol reported an adverse effect, while 19.5%, 15.0%, and 14.9% of participants reported an effect from use of cocaine, ecstasy, and cannabis, respectively. Use of less prevalent drugs, such as NBOMe, methamphetamine, fentanyls, and synthetic cathinones, tended to be associated with higher prevalence of adverse effects. The most consistent risk factor was younger age, while past-month use of a greater number of drugs was often a protective factor against adverse effects. For most drugs, taking too much was the most common perceived reason for the adverse effect, and visiting a hospital after use was most prevalent among those experiencing an adverse effect from cocaine (11.0%). Conclusions: Adverse drug effects are common in this population and results can inform prevention and harm reduction in this population and the general population.

Indexed as

CannabisClub drugsCocaineMorbidityNew psychoactive substances

Identifiers

PMID37025564
PMCPMC10070077
OpenAlexW4353094449

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.