Evidence map›Paper›PMID 24238782›Full record

ArticleAddictive behaviors2014

Rate of progression from first use to dependence on cocaine or opioids: a cross-substance examination of associated demographic, psychiatric, and childhood risk factors.

Carolyn E Sartor, Henry R Kranzler, Joel Gelernter

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Addictive behaviors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
2.4field-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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Introduction to Helping to End Addiction Long-Term Prevention Cooperative: Overview and Strategies.Prevention science : the official journal of the Society for Prevention Research · 2023
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  19. Journal of clinical medicine · 2020
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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

3 authors at 3 institutions in 1 country.

Carolyn E SartorDepartment of Psychiatry, Yale University School of Medicine, VA Connecticut Healthcare System, 950 Campbell Avenue, 151D, West Haven, CT 06516, USA. Electronic address: carolyn.sartor@yale.edu.
Henry R Kranzler
Joel Gelernter
Philadelphia VA Medical Center · USVA Connecticut Healthcare System · USYale University · US

Funding

Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
Novel Approaches to Alcoholism Pharmacotherapy and RiskK24AA013736 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI KRANZLER, HENRY RICHARD · 2002 to 2012
$1.5M
GENETIC AND ENVIRONMENTAL CONTRIBUTIONS TO THE COURSE OF ALCOHOL USE IN WOMENK08AA017921 · NIAAA · YALE UNIVERSITY · PI SARTOR, CAROLYN E · 2010 to 2014
$709k
NIAAA NIH HHS AA017921NIAAA NIH HHS AA11330NIAAA NIH HHS AA13736NIAAA NIH HHS K08 AA017921NIAAA NIH HHS K24 AA013736NIAAA NIH HHS R01 AA011330NIDA NIH HHS DA12690NIDA NIH HHS DA12849NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849
6 · The paper itself

Abstract

backgroundA number of demographic factors, psychiatric disorders, and childhood risk factors have been associated with cocaine dependence (CD) and opioid dependence (OD), but little is known about their relevance to the rate at which dependence develops. Identification of the subpopulations at elevated risk for rapid development of dependence and the risk factors that accelerate the course of dependence is an important public health goal.

methodsData were derived from cocaine dependent (n=6333) and opioid dependent (n=3513) participants in a multi-site study of substance dependence. Mean age was approximately 40 and 40% of participants were women; 51.9% of cocaine dependent participants and 29.5% of opioid dependent participants self-identified as Black/African-American. The time from first use to dependence was calculated for each substance and a range of demographic, psychiatric, and childhood risk factors were entered into ordinal logistic regression models to predict the (categorical) transition time to CD and OD.

resultsIn both the cocaine and opioid models, conduct disorder and childhood physical abuse predicted rapid development of dependence and alcohol and nicotine dependence diagnoses were associated with slower progression to CD or OD. Blacks/African Americans were at greater risk than European Americans to progress rapidly to OD.

conclusionsOnly a subset of factors known to be associated with CD and OD predicted the rate at which dependence developed. Nearly all were common to cocaine and opioids, suggesting that sources of influence on the timing of transitions to dependence are shared across the two substances.

Indexed as

AdultAgedAge of OnsetAlcohol-Related DisordersBehavior, AddictiveCase-Control StudiesChildChild AbuseCluster AnalysisCocaine-Related DisordersConnecticutCross-Sectional StudiesDiagnosis, Dual (Psychiatry)Disease ProgressionFemaleHumansCocaine dependenceOpioid dependenceTransition

Identifiers

PMID24238782
PMCPMC3855905
OpenAlexW2035186697

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.