Evidence map›Paper›PMID 32429796›Full record

ArticleJournal of psychoactive drugs

Increasing Willingness to Use Synthetic Drugs if Offered among Electronic Dance Music Party Attendees, 2017-2019.

Joseph J Palamar

Open access · greenAbstract read
In one paragraph

Article in Journal of psychoactive drugs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Tusi: a new ketamine concoction complicating the drug landscape.The American journal of drug and alcohol abuse · 2023
    Article
  7. Article
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  9. Review
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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

1 author at 1 institution in 1 country.

Joseph J PalamarDepartment of Population Health, New York University Grossman School of Medicine , New York, NY, USA.ORCID 0000-0002-8565-9415
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
Development of a Rapid Survey to Detect Use of New and Emerging DrugsK01DA038800 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PALAMAR, JOSEPH J · 2015 to 2019
$879k
NIDA NIH HHS K01 DA038800NIDA NIH HHS R01 DA044207
6 · The paper itself

Abstract

Intention and willingness to use drugs are proximal predictors of drug use; however, willingness to use requires more research to inform prevention efforts. This study examines willingness to use drugs among electronic dance music (EDM) party attendees, a population at high risk for drug use. Data were examined from a repeated cross-sectional study of 2,426 adult EDM party attendees surveyed entering nightclubs and festivals in New York City from 2017 to 2019 using time-space sampling. Trends and correlates of reporting whether participants would use ten different synthetic drugs if offered by a friend in the next thirty days were examined. Ecstasy (31.9%), powder cocaine (25.5%), LSD (20.0%), and opioids (16.4%) were most likely to be used if offered. Willingness to use powder cocaine, LSD, ketamine, amphetamine, tryptamines, and 2C series drugs significantly increased from 2017 to 2019, particularly powder cocaine (increasing from 19.1% to 34.2%,

Indexed as

DancingIllicit DrugsMusicSynthetic DrugsAdultCross-Sectional StudiesElectronicsHumansIllicit DrugsSynthetic DrugsCocaineecstasyelectronic dance musicketaminewillingness to use drugs

Identifiers

PMID32429796
PMCPMC7674237
OpenAlexW3026693836

What OpenQuestion holds

Textmetadata
LicenceTDM
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.