Evidence map›Paper›PMID 29307501›Full record

ReviewTrends in molecular medicine2018

Addiction Biomarkers: Dimensional Approaches to Understanding Addiction.

Laura E Kwako, Warren K Bickel, David Goldman

Abstract readReview
In one paragraph

Review in Trends in molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Trial
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  10. A history of addiction through the six editions of Kandel'sFrontiers in behavioral neuroscience · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Accelerated brain aging in alcohol users: Insights from machine learning.Alcohol, clinical & experimental research · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

3 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

3 authors.

Laura E KwakoOffice of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, 20892, USA. Electronic address: laura.kwako@nih.gov.
Warren K BickelDepartment of Psychiatry and Behavioral Medicine, Virginia Tech Carilion Research Institute, Roanoke, VA, 24016, USA.
David GoldmanOffice of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, 20892, USA; Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD, 20852, USA.

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
Genetic influences on alcohol use disorder in Native AmericansZIAAA000281 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$6.7M
Self-Control Improvement Intervention (SCII): Improving Abstinence in SmokersR01DA034755 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BICKEL, WARREN K · 2013 to 2017
$3.6M
The Repair of Self Control in Alcohol Dependence: Working Memory & Real Time fMRIR01AA021529 · NIAAA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BICKEL, WARREN K, LACONTE, STEPHEN M · 2013 to 2017
$2.8M
The Social Interactome of Recovery: Social Media as Therapy DevelopmentR01DA039456 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BICKEL, WARREN K · 2014 to 2016
$1.7M
MOLECULAR GENETIC STUDIES ON ALCOHOLISM IN AMERICAN INDIANS--SOUTHWESTERN TRIBEZ01AA000281 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 1990 to 2008
$1.1M
Intramural NIH HHS Z01 AA000281NIAAA NIH HHS R01 AA021529NIDA NIH HHS R01 DA034755NIDA NIH HHS R01 DA039456
6 · The paper itself

Abstract

Trends towards dimensional approaches in understanding psychiatric disorders may also be applied to addictive disorders. Advances in our understanding of the neurobiology of addiction can inform these efforts. Furthermore, dimensional approaches to addiction, such as the proposed Addictions Neuroclinical Assessment (ANA), may be used in identifying novel addiction biomarkers, and refining ones that currently exist. These biomarkers, derived from both an understanding of the neurobiology of addiction and behavioral phenotypes, represent a departure from traditional markers of alcohol-relevant biomarkers, such as tests of liver function (LFTs). We posit that a potential addiction-relevant biomarker is reinforcer pathology, found to be relevant across addictions to different substances, and which may offer a target for modification through the use of episodic future thinking.

Indexed as

Behavior, AddictiveBiomarkersHumansBiomarkersaddictionbiomarkersnosology

Identifiers

PMID29307501
PMCPMC6233300

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.