Evidence map›Paper›PMID 28230564›Full record

ArticleThe Journal of nervous and mental disease2017

Attention Deficit Hyperactivity Disorder, Aggression, and Illicit Stimulant Use: Is This Self-Medication?

Annie P Odell, Grace L Reynolds, Dennis G Fisher, Loucine M Huckabay, William C Pedersen, Pamela Xandre, Milica Miočević

Abstract readComparative Study
In one paragraph

Article in The Journal of nervous and mental disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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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

7 authors at 1 institution in 1 country.

Annie P Odell*School of Nursing, †Center for Behavioral Research and Services, and ‡Department of Psychology, California State University, Long Beach, CA; and §Department of Psychology, Arizona State University, Tempe, AZ.
Grace L Reynolds
Dennis G Fisher
Loucine M Huckabay
William C Pedersen
Pamela Xandre
Milica Miočević
Arizona State University · US

Funding

RIMI-CSULBP20MD003942 · NIMHD · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI CONOLEY, JANE CLOSE · 2009 to 2013
$4.6M
Supplement to Behavioral Science AspectsR01DA030234 · NIDA · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI FISHER, DENNIS G · 2010 to 2013
$1.8M
NIDA NIH HHS R01 DA030234NIMHD NIH HHS P20 MD003942
6 · The paper itself

Abstract

This study compares adults with and without attention deficit hyperactivity disorder (ADHD) on measures of direct and displaced aggression and illicit drug use. Three hundred ninety-six adults were administered the Wender Utah Rating Scale, the Risk Behavior Assessment, the Aggression Questionnaire (AQ), and the Displaced Aggression Questionnaire (DAQ). Those with ADHD were higher on all scales of the AQ and DAQ, were younger at first use of amphetamines, and were more likely to have ever used crack and amphetamines. A Structural Equation Model found a significant interaction in that for those with medium and high levels of verbal aggression, ADHD predicts crack and amphetamine. Follow-up logistic regression models suggest that blacks self-medicate with crack and whites and Hispanics self-medicate with amphetamine when they have ADHD and verbal aggression.

Indexed as

Self MedicationAdultAggressionAmphetaminesAttention Deficit Disorder with HyperactivityBlack or African AmericanBlack PeopleCrack CocaineFemaleHispanic or LatinoHumansLos AngelesMaleMiddle AgedSubstance-Related DisordersWhite PeopleAmphetaminesCrack Cocaine

Identifiers

PMID28230564
PMCPMC5439354
OpenAlexW2590712586

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.