Evidence map›Paper›PMID 31313399›Full record

ArticleAddiction (Abingdon, England)2019

Genetic and environmental risk factors in the non-medical use of over-the-counter or prescribed analgesics, and their relationship to major classes of licit and illicit substance use and misuse in a population-based sample of young adult twins.

Nathan A Gillespie, Timothy C Bates, Ian B Hickie, Sarah E Medland, Brad Verhulst, Robert M Kirkpatrick, Kenneth S Kendler, Nicholas G Martin, Eric G Benotsch

Open access · greenAbstract readTwin Study
In one paragraph

Article in Addiction (Abingdon, England), 2019. 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
2.7field-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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Genetic Vulnerability to Opioid Addiction.Cold Spring Harbor perspectives in medicine · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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

9 authors at 5 institutions in 3 countries.

Nathan A GillespieVirginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, VA, USA.ORCID 0000-0001-8655-2823
Timothy C BatesDepartment of Psychology, University of Edinburgh, UK.
Ian B HickieBrain and Mind Centre, University of Sydney, NSW, Australia.
Sarah E MedlandQIMR Berghofer Medical Research Institute, QLD, Australia.
Brad VerhulstPsychology Department, Michigan State University, MI, USA.
Robert M KirkpatrickVirginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, VA, USA.
Kenneth S KendlerVirginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, VA, USA.
Nicholas G MartinQIMR Berghofer Medical Research Institute, QLD, Australia.
Eric G BenotschPsychology Department, Virginia Commonwealth University, VA, USA.
Virginia Commonwealth University · USQIMR Berghofer Medical Research Institute · AUMichigan State University · USThe University of Sydney · AUUniversity of Edinburgh · GB

Funding

Genetic & environmental pathways to drug use, abuse & dependenceR00DA023549 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI GILLESPIE, NATHAN ALEXANDER · 2010 to 2012
$717k
The Genetic and Environmental Etiology of Non-Medical Use of Prescription DrugsR21DA038852 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BENOTSCH, ERIC G, GILLESPIE, NATHAN ALEXANDER · 2016 to 2017
$419k
Genetic & environmental pathways to drug use, abuse & dependenceK99DA023549 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI GILLESPIE, NATHAN ALEXANDER · 2008 to 2009
$166k
NHMRC Fellowship APP1103623NIDA NIH HHS K99 DA023549NIDA NIH HHS R00 DA023549NIDA NIH HHS R21 DA038852The Australian NHMRC APP10499110
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe non-medical use of over-the-counter or prescribed analgesics (NMUA) is a significant public health problem. Little is known about the genetic and environmental etiology of NMUA and how these risks relate to other classes of substance use and misuse. Our aims were to estimate the heritability NMUA and sources of genetic and environmental covariance with cannabis and nicotine use, cannabis and alcohol use disorders and nicotine dependence in Australian twins.

designBiometrical genetic analyses or twin methods using structural equation univariate and multivariate modeling.

settingAustralia.

participantsA total of 2007 young adult twins [66% female; μ MEASUREMENTS: Self-reported NMUA (non-opioid or opioid-based), life-time nicotine, cannabis and opioid use, DSM-V cannabis and alcohol use disorders and the Fagerström Test for Nicotine Dependence.

findingsLife-time NMUA was reported by 19.4% of the sample. Univariate heritability explained 46% [95% confidence interval (CI) = 0.29-0.57] of the risks in NMUA. Multivariate analyses revealed that NMUA is moderately associated genetically with cannabis (r

conclusionsIn young male and female adults in Australia, the non-medical use of over-the-counter or prescribed analgesics appears to have moderate heritability. NMUA is moderately associated with cannabis and nicotine use and nicotine dependence. Its genetic etiology is largely distinct from that of cannabis and alcohol use disorders.

Indexed as

Drug MisusePrescription Drug MisuseAdolescentAdultAlcoholismAnalgesicsAustraliaCannabisFemaleGene-Environment InteractionGenetic Predisposition to DiseaseHumansLatent Class AnalysisLongitudinal StudiesMaleNicotineAnalgesicsNicotineComorbiditygenenon-medical useover-the-counterprescribed analgesicssubstance usetwin

Identifiers

PMID31313399
PMCPMC6868294
OpenAlexW2956880298

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.