Evidence map›Paper›PMID 23806805›Full record

ReviewNeuropharmacology2014

The behavioral- and neuro-economic process of temporal discounting: A candidate behavioral marker of addiction.

Warren K Bickel, Mikhail N Koffarnus, Lara Moody, A George Wilson

Registry-linked trialAbstract readReview
In one paragraph

Review in Neuropharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05879198 (Train Your Brain), which is not on this map. Cited by 234 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
234citing papers in PubMed, 5 pooled it
18.4field-weighted citation impact, top 1% 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.

NCT05879198 nacompletednot on this mapstarted 2023, after this paper: background citation

Train Your Brain: A Pilot Project to Improve Memory and Decision Making to Improve Outcomes Among Youth

TypeinterventionalSponsorHenry Ford Health SystemRan2023 to 2023Enrolled23ConditionsBehavior, HealthArmsComputer-based Intervention
3 · Its place in the literature

Who cites it

234 citing papers in PubMed, 5 syntheses or guidelines pooled it, 384 citations in OpenAlex.

  1. Pooled it
  2. A systematic review and meta-analysis of delay discounting and cannabis use.Experimental and clinical psychopharmacology · 2021
    Pooled it
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  6. Dopamine and Temporal Discounting: Revisiting Pharmacology and Individual Differences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  10. A web-based episodic specificity and future thinking session modulates delay discounting in cannabis users.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2020
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  17. Delay-probability asymmetry in discounting: An anomaly in multiattribute choice.Journal of the experimental analysis of behavior · 2026
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  20. Article

174 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

4 authors at 1 institution in 1 country.

Warren K BickelVirginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA. Electronic address: wkbickel@vt.edu.
Mikhail N Koffarnus
Lara Moody
A George Wilson
Virginia Tech · US

Funding

Tobacco Constituent and Biomarker Assessment CoreU19CA157345 · NCI · UNIVERSITY OF MINNESOTA · PI HATSUKAMI, DOROTHY K · 2012 to 2016
$13.3M
Inter-Temporal Trade-offs in the Risky Decisions of Cocaine AddictsR01DA030241 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BICKEL, WARREN K, MONTAGUE, P READ · 2010 to 2014
$3.6M
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
Executive Function Therapy for Stimulant AddictionR01DA024080 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BICKEL, WARREN K · 2008 to 2012
$3.1M
NCI NIH HHS 1U19CA157345NCI NIH HHS U19 CA157345NIDA NIH HHS R01 DA024080NIDA NIH HHS R01DA024080NIDA NIH HHS R01 DA030241NIDA NIH HHS R01DA030241NIDA NIH HHS R01 DA034755
6 · The paper itself

Abstract

Addiction science would benefit from the identification of a behavioral marker. A behavioral marker could reflect the projected clinical course of the disorder, function as a surrogate measure of clinical outcome, and/or may be related to biological components that underlie the disorder. In this paper we review relevant literature, made possible with the early and sustained support by NIDA, to determine whether temporal discounting, a neurobehavioral process derived from behavioral economics and further explored through neuroeconomics, may function as a behavioral marker. Our review suggests that temporal discounting 1) identifies individuals who are drug-dependent, 2) identifies those at risk of developing drug dependence, 3) acts as a gauge of addiction severity, 4) correlates with all stages of addiction development, 5) changes with effective treatment, and 6) may be related to the biological and genetic processes that underlie addiction. Thus, initial evidence supports temporal discounting as a candidate behavioral marker. Additional studies will be required in several areas for a more conclusive determination. Confirmation that temporal discounting functions as a behavioral marker for addiction could lead to 1) a screen for new treatments, 2) personalization of prevention and treatment interventions, and 3) the extension of temporal discounting as a behavioral marker for other etiologically similar disorders. This article is part of a Special Issue entitled 'NIDA 40th Anniversary Issue'.

Indexed as

Behavior, AddictiveEconomics, BehavioralSubstance-Related DisordersBrainChoice BehaviorHumansBiomarker of addictionDelay discountingDrug abuse predictorsNeuroeconomicsSubstance abuse disordersTemporal discounting

Identifiers

PMID23806805
PMCPMC3858579
OpenAlexW2063553039

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.