Evidence map›Paper›PMID 27315427›Full record

ArticleThe American journal of drug and alcohol abuse2016

Discordant reporting of nonmedical opioid use in a nationally representative sample of US high school seniors.

Joseph J Palamar, Jenni A Shearston, Charles M Cleland

Abstract read
In one paragraph

Article in The American journal of drug and alcohol abuse, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Trial
  2. An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2023
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  14. Barriers to accurately assessing prescription opioid misuse on surveys.The American journal of drug and alcohol abuse · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Discordant reporting of nonmedical opioid use: reply to letter to the editor.The American journal of drug and alcohol abuse · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Joseph J Palamara Department of Population Health , New York University Langone Medical Center , New York , NY , USA.
Jenni A Shearstona Department of Population Health , New York University Langone Medical Center , New York , NY , USA.
Charles M Clelandb Center for Drug Use and HIV Research , New York University College of Nursing , New York , NY , USA.

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
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 P30 DA011041NIDA NIH HHS R01 DA001411
6 · The paper itself

Abstract

backgroundNonmedical opioid use has become a major public health concern due to increases in treatment admissions, overdoses, and deaths. Use has also been linked to heroin initiation. Reliable data on nonmedical opioid use are needed to continue to inform prevention.

objectiveTo determine the prevalence and correlates of discordant self-report of nonmedical use of opioids in a national sample.

methodsUtilizing a nationally representative sample of 31,149 American high school seniors in the Monitoring the Future study (2009-2013), discordant responses between self-reported 12-month nonmedical opioid use and self-reported 12-month nonmedical Vicodin and OxyContin use (reporting Vicodin/OxyContin use, but not reporting "opioid" use) were assessed. We also used multivariable logistic regression to determine the characteristics of students who were most likely to provide a discordant response.

results37.1% of those reporting nonmedical Vicodin use and 28.2% of those reporting nonmedical OxyContin use did not report overall nonmedical opioid use. Prevalence of nonmedical opioid use (8.3%) would increase when factoring in Vicodin, OxyContin, or both, by 2.8%, 1.3%, and 3.3%, respectively. Females were more likely to provide a discordant response to Vicodin and highly religious students were more likely to provide a discordant response regarding OxyContin use. Those who reported cocaine or nonmedical tranquilizer use were at consistently low odds for discordant responses. Nonmedical amphetamine users were at low odds for providing a discordant Vicodin response.

conclusionPrevalence of nonmedical opioid use may be underreported on some surveys, particularly among specific subpopulations. Further research on the effect of question order and skip-patterns (e.g., "gate" questions) is needed. Reliable data on nonmedical opioid use are needed to continue to accurately inform prevention.

Indexed as

SchoolsAcetaminophenAdolescentAnalgesics, OpioidDrug CombinationsFemaleHumansHydrocodoneMaleOpioid-Related DisordersOxycodonePrevalenceReproducibility of ResultsSelf ReportStudentsUnited StatesAcetaminophenacetaminophen, hydrocodone drug combinationAnalgesics, OpioidDrug CombinationsHydrocodoneOxycodoneadolescentsOpioidsoxycodonereliability of self-report

Identifiers

PMID27315427
PMCPMC5055456

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.