Evidence map›Paper›PMID 25908322›Full record

ArticleDrug and alcohol dependence2015

Peak ages of risk for starting nonmedical use of prescription stimulants.

E A Austic, E A Austic Formerly E A Meier

Erratum issuedAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Stimulant misuse among youth.Current problems in pediatric and adolescent health care · 2022
    Review
  10. Article
  11. Article
  12. Prescription Drug Misuse: Taking a Lifespan Perspective.Substance abuse : research and treatment · 2020
    Review
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

  • Erratum issued
    Meier, E A Austic Formerly E A [corrected to Austic, E A]
5 · Who and what money

Authors and funding

2 authors.

E A AusticInjury Center, Department of Emergency Medicine, University of Michigan, 2800 Plymouth Road, Suite B10-G080, Ann Arbor, MI 48109-2800, United States. Electronic address: emeier@umich.edu.
E A Austic Formerly E A Meier

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
SUBSTANCE ABUSE INTERDISCIPLINARY TRAINING PROGRAMT32DA007267 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GNEGY, MARGARET E · 1994 to 2015
$4.5M
Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
A Prospective Study of the Nonmedical use of Prescription Medications by AdolesceR01DA024678 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOYD, CAROL J · 2009 to 2013
$3.0M
Training Program in Drug Dependence EpidemiologyT32DA021129 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2006 to 2016
$2.7M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
Drug Dependence Epidemiology and EnviromicsK05DA015799 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2015
$1.4M
Longitudinal Changes in Recovery from Drug Use Disorders: A National StudyR01DA036541 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCABE, SEAN ESTEBAN · 2015 to 2017
$647k
NCATS NIH HHS 2UL1TR000433-06NCATS NIH HHS UL1 TR000433NIDA NIH HHS K05 DA015799NIDA NIH HHS K05DA015799NIDA NIH HHS R01 DA016558NIDA NIH HHS R01DA016558NIDA NIH HHS R01 DA024678NIDA NIH HHS R01DA024678NIDA NIH HHS R01 DA031160NIDA NIH HHS R01DA031160NIDA NIH HHS R01 DA036541NIDA NIH HHS T32 DA007267NIDA NIH HHS T32DA007267NIDA NIH HHS T32 DA021129NIDA NIH HHS T32DA021129
6 · The paper itself

Abstract

backgroundTo produce population-level, year- and age-specific risk estimates of first time nonmedical use of prescription stimulants among young people in the United States.

methodsData are from the National Surveys on Drug Use and Health 2004-2012; a nationally representative probability sample survey administered each year. Subpopulations included youths aged 12 to 21 years (n=240,160) who had not used prescription stimulants nonmedically prior to their year of survey assessment. A meta-analytic approach was used to produce population-level age-, year-, and cohort-specific risk estimates of first time nonmedical use of prescription stimulants.

resultsPeak risk of starting nonmedical use of prescription stimulants was concentrated between ages 16 and 19 years, when an estimated 0.7% to 0.8% of young people reported nonmedical use of these medicines for the first time in the past twelve months. Smaller risk estimates ranging from 0.1% to 0.6% were observed at ages 12 to 15 years and 20 to 21 years. Compared with males, females were more likely to have started nonmedical use of prescription stimulants (odds ratio=1.35; 95% CI, 1.13-1.62), particularly between the ages of 14 and 19. Females showed a peak annual incidence rate of 1% at age 18, while males the same age showed an incidence rate of 0.5%.

conclusionsPeak annual incidence rates for nonmedical use of prescription stimulants were observed between the ages of 16 and 19 years. There is reason to initiate interventions during the earlier adolescent years to prevent youths from starting nonmedical use of prescription stimulants.

Indexed as

Self MedicationAdolescentAge FactorsCentral Nervous System StimulantsFemaleHealth SurveysHumansIncidenceMaleRisk FactorsSubstance-Related DisordersUnited StatesYoung AdultCentral Nervous System StimulantsAdolescentNonmedical useStimulant

Identifiers

PMID25908322
PMCPMC4458195

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LicenceTDM
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Registered trials

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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.