Evidence map›Paper›PMID 26417548›Full record

ArticleCurrent behavioral neuroscience reports2015

Epidemiological Studies of Substance Dependence and Abuse in Adults.

Erin Delker, Qiana Brown, Deborah Hasin

Open access · bronzeAbstract read
In one paragraph

Article in Current behavioral neuroscience reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

3 authors at 2 institutions in 1 country.

Erin DelkerNew York State Psychiatric Institute, 722 West 168th Street, New York, NY 10032, USA.
Qiana BrownDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Deborah HasinNew York State Psychiatric Institute, 722 West 168th Street, New York, NY 10032, USA.
Columbia University · USNew York State Psychiatric Institute

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Phenotypes for Drug Abuse:Epidemiologic-Genetic ApproachR01DA018652 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2004 to 2018
$5.3M
NIDA NIH HHS R01 DA018652NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

Drug and alcohol use disorders account for a high and potentially preventable proportion of overall disability and mortality. This article reviews published data on the distribution of alcohol and drug abuse and dependence in the USA. Published data shows that alcohol use disorders are more prevalent than illegal drug use disorders, although the persistence of both disorders was similar over a three-year follow-up period. Significant variability exists within sex, racial/ethnic, and age groups. Men, Native Americans, and young adults, aged 18 to 25, are at a higher risk of substance dependence. Environmental correlates of disorder include early environmental factors, political environment, and social contextual factors. Systematically identifying, and measuring variability across demographic populations, will guide prevention and intervention efforts. Future research will expand understanding of the complex interplay between individual and environmental factors that serve to initiate and sustain alcohol and drug use disorders.

Indexed as

AbuseDependenceDisorderEpidemiologySubstance use

Identifiers

PMID26417548
PMCPMC4582776
OpenAlexW2032626996

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.