Evidence map›Paper›PMID 34483503›Full record

ArticleCurrent directions in psychological science2021

The profound heterogeneity of substance use disorders: Implications for treatment development.

Kathleen M Carroll

Open access · greenAbstract read
In one paragraph

Article in Current directions in psychological science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  11. Validation of the Observational Assessment Tool for Tailoring (OATT).Prevention science : the official journal of the Society for Prevention Research · 2026
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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

1 author at 1 institution in 1 country.

Kathleen M CarrollYale University School of Medicine.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1994 to 2018
$40.5M
The National Drug Abuse Treatment Clinical Trials Network (U10)U10DA015831 · NIDA · MC LEAN HOSPITAL (BELMONT, MA) · PI CARROLL, KATHLEEN M., WEISS, ROGER D. · 2002 to 2015
$28.8M
Computer-Based Training in Cognitve Behavioral TherapyR01DA015969 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 2002 to 2015
$2.8M
Efficacy and Mechanisms of CBT4CBT for Alcohol Use DisordersR01AA024122 · NIAAA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2016 to 2020
$2.7M
Computer Training in CBT for Spanish-speaking Alcohol UsersR01AA025605 · NIAAA · YALE UNIVERSITY · PI KILUK, BRIAN D., PARIS, MANUEL · 2017 to 2021
$2.6M
Computer-Based Training in Cognitve Behavioral TherapyR37DA015969 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 2003 to 2009
$2.6M
Development of the Stimulant Use Disorder Severity ScaleU01DA051639 · NIDA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2020 to 2023
$1.8M
Adapting Web-based CBT to improve adherence and outcome for individuals with opioid use disorder and chronic pain treated with opioid agonistsR61AT010619 · NCCIH · YALE UNIVERSITY · PI HEAPY, ALICIA · 2020 to 2020
$999k
Integrating Cognitive Neuroscience Toward Understanding of Mechanisms of CBT for Alcohol Use DisordersK02AA027300 · NIAAA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2019 to 2023
$719k
A Stage I Study of Computer Based Training in CBT for Alcohol Use DisordersR21AA021405 · NIAAA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 2012 to 2013
$358k
NCATS NIH HHS UL1 TR001863NCCIH NIH HHS R61 AT010619NIAAA NIH HHS K02 AA027300NIAAA NIH HHS R01 AA024122NIAAA NIH HHS R01 AA025605NIAAA NIH HHS R21 AA021405NIDA NIH HHS P50 DA009241NIDA NIH HHS R01 DA015969NIDA NIH HHS R37 DA015969NIDA NIH HHS U01 DA051639NIDA NIH HHS U10 DA015831
6 · The paper itself

Abstract

A single treatment approach will never be sufficient to address the diversity of individuals with substance use disorders (SUDs). SUDs have historically defied definition through simple characterizations or models, and no single characterization has led to the development of broadly effective interventions. The range of dimensions of heterogeneity among individuals with SUDs, including severity, type of substance, and issues that frequently co-occur underscore that highly tailored approaches are needed. To approach personalized medicine for individuals with SUDs; two major developments are needed. First, given the diversity of individuals with SUDs, multivariate phenotyping approaches are needed to identify the particular features driving addictive processes in any individual. Second, a wider range of interventions that directly target core mechanisms of addiction and the problems that co-occur with them are needed. As clinicians cannot be expected to master the full range of interventions that may target these core processes, developing these so that they can be delivered easily, flexibly, and systematically via technology will facilitate our ability to truly tailor interventions to this highly complex and challenging population. One such technology-delivered intervention, computer-based training for cognitive behavioral therapy (CBT4CBT), is used as an example to illustrate a vision for the future of highly-tailored interventions for individuals with SUDs.

Indexed as

heterogeneityphenotypingSubstance use disorderstreatment tailoring

Identifiers

PMID34483503
PMCPMC8415637
OpenAlexW3185899248

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.