Evidence map›Paper›PMID 25725934›Full record

ArticleDrug and alcohol dependence2015

Probability and predictors of treatment-seeking for substance use disorders in the U.S.

Carlos Blanco, Miren Iza, Jorge Mario Rodríguez-Fernández, Enrique Baca-García, Shuai Wang, Mark Olfson

Abstract 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. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% 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

66 citing papers in PubMed, 2 syntheses or guidelines pooled it, 143 citations in OpenAlex.

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  17. Etiology and correlates of alcohol misuse in early midlife.Alcohol, clinical & experimental research · 2025
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6 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Carlos BlancoNew York State Psychiatric Institute, New York, NY, USA. Electronic address: cb255@columbia.edu.
Miren IzaNew York State Psychiatric Institute, New York, NY, USA; Fundación Jiménez-Díaz, Department of Psychiatry, Madrid, Spain.
Jorge Mario Rodríguez-FernándezNew York State Psychiatric Institute, New York, NY, USA.
Enrique Baca-GarcíaNew York State Psychiatric Institute, New York, NY, USA; Fundación Jiménez-Díaz, Department of Psychiatry, Madrid, Spain.
Shuai WangNew York State Psychiatric Institute, New York, NY, USA.
Mark OlfsonNew York State Psychiatric Institute, New York, NY, USA.
New York Psychoanalytic Society and Institute · USNew York State Psychiatric InstituteHospital Universitario Fundación Jiménez Díaz · ES

Funding

Interpersonal therapy for depression in Breast CancerR01CA133050 · NCI · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MARKOWITZ, JOHN C · 2009 to 2013
$2.6M
Towards a Comprehensive Developmental Model of Substance Use DisordersR01DA019606 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI OLFSON, MARK · 2006 to 2016
$2.6M
NCI NIH HHS CA133050NCI NIH HHS R01 CA133050NIDA NIH HHS DA019606NIDA NIH HHS R01 DA019606
6 · The paper itself

Abstract

backgroundLittle is known about to what extent treatment-seeking behavior varies across individuals with alcohol abuse, alcohol dependence, drug abuse, and drug dependence.

methodsThe sample included respondents from the Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) who reported a lifetime diagnosis alcohol abuse, alcohol dependence, drug abuse, or drug dependence. Unadjusted and adjusted hazard ratios are presented for time to first treatment contact by sociodemographic characteristics and comorbid psychiatric disorders. Individuals were censored from the analyses if their condition remitted prior to seeking treatment.

resultsIn the first year after disorder onset, rates of treatment-seeking were 13% for drug dependence, 5% for alcohol dependence, 2% for drug abuse, and 1% for alcohol abuse. The lifetime probability of seeking treatment among individuals who did not remit was also highest for drug dependence (90%), followed by drug abuse (60%), alcohol dependence (54%), and alcohol abuse (16%). Having had previous treatment contact for a substance use disorder (SUD) increased the probability of seeking treatment for another SUD. By contrast, an early age of SUD onset, belonging to an older cohort, and a higher level of education decreased the lifetime probability of treatment contact for SUD. The role of comorbid mental disorders was more complex, with some disorders increasing and other decreasing the probability of seeking treatment.

conclusionsGiven high rates of SUD and their substantial health and economic burden, these patterns suggest the need for innovative approaches to increase treatment access for individuals with SUD.

Indexed as

AdultAlcoholismComorbidityDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMaleMental DisordersPatient Acceptance of Health CarePredictive Value of TestsProbabilitySocioeconomic FactorsSubstance-Related DisordersUnited StatesComorbidityNESARCSubstance use disordersTreatment-seeking

Identifiers

PMID25725934
PMCPMC4789763
OpenAlexW2074009448

What OpenQuestion holds

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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.