Evidence map›Paper›PMID 37988115›Full record

ArticleClinical toxicology (Philadelphia, Pa.)2023

Trends and correlates of discordant reporting of drug use among nightclub/festival attendees, 2019-2022.

Joseph J Palamar, Alberto Salomone

Open access · greenAbstract read
In one paragraph

Article in Clinical toxicology (Philadelphia, Pa.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 11 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 2 institutions in 3 countries.

Joseph J PalamarDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Alberto SalomoneDepartment of Chemistry, University of Turin, Turin, Italy.
New York University · USWorld Anti-Doping Agency · CA

Funding

New psychoactive substance exposure among NYC nightclub and festival attendeesR01DA057289 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Joseph J Palamar · 2023 to 2026
$2.7M
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 DA044207NIDA NIH HHS R01 DA057289
6 · The paper itself

Abstract

introductionPeople who attend nightclubs and festivals are known for high prevalence of party drug use, but more research is needed on underreporting in this population, in part because unintentional drug exposure through adulterated drug products is common. We examined the prevalence of drug use in this population, based both on self-reporting and on hair test results, with a focus on the detection of underreported use.

methodsAdults entering nightclubs and festivals in New York City were asked about past-year drug use in 2019-2022 (

resultsOf the 328 who provided a sample, cocaine and ketamine were the most frequently detected drugs (55.2% [ DISCUSSION: Underreporting of drug use was common, suggesting the need for researchers to better deduce intentional underreporting versus unknown drug exposure

conclusionsResearchers should consider both self-report and toxicology results from biological samples when examining trends in use.

Indexed as

CocaineKetamineMethamphetamineSubstance-Related DisordersAdultHolidaysHumansCocaineKetamineMethamphetamineClub drugscocaineecstasyhair testingketamine

Identifiers

PMID37988115
PMCPMC10664866
OpenAlexW4388870043

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.