Evidence map›Paper›PMID 31344831›Full record

ReviewJournal of clinical medicine2019

Addiction as Learned Behavior Patterns.

Andreas Heinz, Anne Beck, Melissa Gül Halil, Maximilian Pilhatsch, Michael N Smolka, Shuyan Liu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 66 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Andreas HeinzDepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin (Campus Charité Mitte), 10117 Berlin, Germany.
Anne BeckDepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin (Campus Charité Mitte), 10117 Berlin, Germany.
Melissa Gül HalilDepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin (Campus Charité Mitte), 10117 Berlin, Germany.
Maximilian PilhatschDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, 01187 Dresden, Germany.
Michael N SmolkaDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, 01187 Dresden, Germany.
Shuyan LiuDepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin (Campus Charité Mitte), 10117 Berlin, Germany. siyan908@hotmail.com.ORCID 0000-0002-6948-5734
Charité - Universitätsmedizin Berlin · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with substance use disorders (SUDs) have to cope with drug-related cues and contexts which can affect instrumental drug seeking, as shown with Pavlovian-to-instrumental transfer (PIT) tasks among humans and animals. Our review addresses two potential mechanisms that may contribute to habitual or even compulsive drug seeking and taking. One mechanism is represented by Pavlovian and PIT effects on drug intake. The other is a shift from goal-directed to habitual drug intake, which can be accessed via model-based versus model-free decision-making in respective learning tasks. We discuss the impact of these learning mechanisms on drug consumption. First, we describe how Pavlovian and instrumental learning mechanisms interact in drug addiction. Secondly, we address the effects of acute and chronic stress exposure on behavioral and neural PIT effects in alcohol use disorder (AUD). Thirdly, we discuss how these learning mechanisms and their respective neurobiological correlates can contribute to losing versus regaining control over drug intake. Utilizing mobile technology (mobile applications on smartphones including games that measure learning mechanisms, activity bracelets), computational models, and real-world data may help to better identify patients with a high relapse risk and to offer targeted behavioral and pharmacotherapeutic interventions for vulnerable patients.

Indexed as

alternative rewardanimal and computational modelsbehavioral controlcraving and relapsecue exposurehabit formationsubstance use disorders

Identifiers

PMID31344831
PMCPMC6723628
OpenAlexW2964151936

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.