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The behavioral-and neuro-economic process of temporal discounting: a candidate behavioral marker of addiction
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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'.
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“Delay discounting (DD) refers to the decline in value of a reinforcer as a function of delay and is a process closely related to the phenotype of addiction and other disorders [29].”
From Addiction Biomarkers: Dimensional Approaches to Understanding Addiction (2018) · cites this paper as [29]
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Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Anterior Cingulate Conflict Monitoring and Adjustments in Control
Kerns, J. G., Cohen, J. D., MacDonald, A. W., Cho, R. Y., Stenger, V. A., & Carter, C. S. (2004) · Science · doi:10.1126/science.1089910 · Cited by 2,891
Specious reward: A behavioral theory of impulsiveness and impulse control.
Ainslie, G. (1975) · Psychological Bulletin · doi:10.1037/h0076860 · Cited by 2,708
Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls.
Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.128.1.78 · Cited by 2,171
Self-citationAddiction motivation reformulated: an affective processing model of negative reinforcement
Baker, T. B., Piper, M. E., McCarthy, D. E., Majeskie, M. R., & Fiore, M. C. (2004) · Psychological Review · doi:10.1037/0033-295x.111.1.33 · Cited by 2,162
An adjusting procedure for studying delayed reinforcement.
Commons, M. L., Mazur, J., Nevin, J. A., & Rachlin, H. C. (1987) · doi:10.4324/9781315825502-11 · Cited by 1,842
Principles of Frontal Lobe Function
Stuss, D. T. (2002) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195134971.001.0001 · Cited by 1,731
AREA UNDER THE CURVE AS A MEASURE OF DISCOUNTING
Myerson, J., Green, L., & Warusawitharana, M. (2001) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.2001.76-235 · Cited by 1,545
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Sorted by citations
Nielsen, L., Riddle, M., King, J. W., Aklin, W. M., Chen, W., Clark, D., Collier, E., Czajkowski, S., Esposito, L., Ferrer, R., et al. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.07.002 · Cited by 446
The structure of psychopathology in adolescence and its common personality and cognitive correlates.
Castellanos-Ryan, N., The IMAGEN Consortium, Brière, F. N., O'Leary-Barrett, M., Banaschewski, T., Bokde, A., Bromberg, U., Büchel, C., Flor, H., Frouin, V., et al. (2016) · Journal of Abnormal Psychology · doi:10.1037/abn0000193 · Cited by 299
Story, G. W., Vlaev, I., Seymour, B., Darzi, A. W., & Dolan, R. J. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00076 · Cited by 304
Unstuck in time: episodic future thinking reduces delay discounting and cigarette smoking
Stein, J. S., Wilson, A. G., Koffarnus, M. N., Daniel, T. O., Epstein, L. H., & Bickel, W. K. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4410-y · Cited by 267
Self-citationKrueger, R. F., Hobbs, K. A., Conway, C., Dick, D. M., Dretsch, M. N., Eaton, N. R., Forbes, M. K., Forbush, K. T., Keyes, K. M., Latzman, R. D., et al. (2021) · World Psychiatry · doi:10.1002/wps.20844 · Cited by 294
Episodic future thinking: expansion of the temporal window in individuals with alcohol dependence
Snider, S. E., LaConte, S. M., & Bickel, W. K. (2016) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.13112 · Cited by 241
Self-citationAutomating Scoring of Delay Discounting for the 21- and 27-Item Monetary Choice Questionnaires
Kaplan, B. A., Amlung, M. T., Reed, D. D., Jarmolowicz, D. P., McKerchar, T. L., & Lemley, S. M. (2016) · The Behavior Analyst · doi:10.1007/s40614-016-0070-9 · Cited by 218
The Malleability of Intertemporal Choice
Lempert, K. M., & Phelps, E. A. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.09.005 · Cited by 207
A dual‐systems perspective on addiction: contributions from neuroimaging and cognitive training
McClure, S. M., & Bickel, W. K. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12561 · Cited by 209
Self-citationStages of dysfunctional decision-making in addiction
Verdejo‐García, A., Chong, T. T. ‐., Stout, J. C., Yücel, M., & London, E. D. (2017) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2017.02.003 · Cited by 198
Bickel, W. K., Athamneh, L. N., Basso, J. C., Mellis, A. M., DeHart, W. B., Craft, W. H., & Pope, D. A. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.01.005 · Cited by 190
Self-citationDelay discounting rates: A strong prognostic indicator of smoking relapse
Sheffer, C. E., Christensen, D. R., Landes, R. D., Carter, L. P., Jackson, L., & Bickel, W. K. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.04.019 · Cited by 173
Self-citationAmount and time exert independent influences on intertemporal choice
Amasino, D. R., Sullivan, N., Kranton, R., & Huettel, S. A. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0537-2 · Cited by 125
The Genetics of Impulsivity: Evidence for the Heritability of Delay Discounting
Anokhin, A. P., Grant, J. D., Mulligan, R. C., & Heath, A. C. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.10.022 · Cited by 150
Insights from Preclinical Choice Models on Treating Drug Addiction
Banks, M. L., & Negus, S. S. (2016) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2016.11.002 · Cited by 151
21st century neurobehavioral theories of decision making in addiction: Review and evaluation
Bickel, W. K., Mellis, A. M., Snider, S. E., Athamneh, L. N., Stein, J. S., & Pope, D. A. (2018) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2017.09.009 · Cited by 134
Self-citationImpulsivity in disorders of food and drug misuse
Mole, T. B., Irvine, M. A., Worbe, Y., Collins, P., Mitchell, S., Bolton, S., Harrison, N. A., Robbins, T. W., & Voon, V. (2014) · Psychological Medicine · doi:10.1017/s0033291714001834 · Cited by 134
Ahn, W., & Vassileva, J. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.02.008 · Cited by 123
Yao, Y., Chen, P., Li, C. R., Hare, T. A., Li, S., Zhang, J., Liu, L., Ma, S., & Fang, X. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.038 · Cited by 141
Büchel, C., Peters, J., Banaschewski, T., Bokde, A. L. W., Bromberg, U., Conrod, P. J., Flor, H., Papadopoulos, D., Garavan, H., Gowland, P., et al. (2017) · Nature Communications · doi:10.1038/ncomms14140 · Cited by 118
Childhood Maltreatment and Impulsivity: A Meta-Analysis and Recommendations for Future Study
Liu, R. T. (2018) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-018-0445-3 · Cited by 123
Pickard, H. (2020) · Noûs · doi:10.1111/nous.12328 · Cited by 110
Reward-based decision making in pathological gambling: The roles of risk and delay
Wiehler, A., & Peters, J. (2014) · Neuroscience Research · doi:10.1016/j.neures.2014.09.008 · Cited by 111
Some current dimensions of the behavioral economics of health-related behavior change
Bickel, W. K., Moody, L. N., & Higgins, S. T. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.06.002 · Cited by 107
Self-citationMcClelland, J., Dalton, B., Kekic, M., Bartholdy, S., Campbell, I. C., & Schmidt, U. H. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.09.024 · Cited by 119
Addiction Biomarkers: Dimensional Approaches to Understanding Addiction
Kwako, L. E., Bickel, W. K., & Goldman, D. (2018) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.12.007 · Cited by 103
Self-citationClinical models of decision making in addiction
Koffarnus, M. N., & Kaplan, B. A. (2017) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2017.08.010 · Cited by 99
Self-citationNuyens, F., Deleuze, J., Maurage, P., Griffiths, M., Kuss, D., & Billieux, J. (2016) · Journal of Behavioral Addictions · doi:10.1556/2006.5.2016.028 · Cited by 110
A Machine-Learning Approach to Predicting Smoking Cessation Treatment Outcomes
Coughlin, L. N., Tegge, A. N., Sheffer, C. E., & Bickel, W. K. (2018) · Nicotine & Tobacco Research · doi:10.1093/ntr/nty259 · Cited by 99
Self-citationThe influence of episodic foresight on delay discounting and demand for alcohol
Bulley, A., & Gullo, M. J. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2016.11.003 · Cited by 95
Developing neuroscience-based treatments for alcohol addiction: A matter of choice?
Heilig, M. A., Augier, E., Pfarr, S., & Sommer, W. H. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0591-6 · Cited by 104
Bailey, A. J., Romeu, R. J., & Finn, P. (2021) · Psychological Medicine · doi:10.1017/s0033291721002282 · Cited by 100
Reflection impulsivity in binge drinking: behavioural and volumetric correlates
Banca, P., Lange, I., Worbe, Y., Howell, N. A., Irvine, M. A., Harrison, N. A., Moutoussis, M., & Voon, V. (2015) · Addiction Biology · doi:10.1111/adb.12227 · Cited by 97
Cue-Induced Craving Increases Impulsivity via Changes in Striatal Value Signals in Problem Gamblers
Miedl, S. F., Büchel, C., & Peters, J. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5020-13.2014 · Cited by 87
Bechara, A., Berridge, K. C., Bickel, W. K., Morón, J. A., Williams, S. B., & Stein, J. S. (2019) · Psychological Science in the Public Interest · doi:10.1177/1529100619860513 · Cited by 82
Self-citationTransition to substance use disorders: impulsivity for reward and learning from reward
Poulton, A., & Hester, R. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz077 · Cited by 79
Dopaminergic function and intertemporal choice
Joutsa, J., Voon, V., Johansson, J. J., Niemelä, S., Bergman, J. R., & Kaasinen, V. (2015) · Translational Psychiatry · doi:10.1038/tp.2014.133 · Cited by 83
Episodic future thinking is related to impulsive decision making in healthy adolescents
Bromberg, U., Wiehler, A., & Peters, J. (2015) · Child Development · doi:10.1111/cdev.12390 · Cited by 79
Cognitive biases in binge eating disorder: the hijacking of decision making
Voon, V. (2015) · CNS Spectrums · doi:10.1017/s1092852915000681 · Cited by 79
Optogenetic activation of the central amygdala generates addiction‐like preference for reward
Tom, R. L., Ahuja, A., Maniates, H., Freeland, C. M., & Robinson, M. J. F. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13967 · Cited by 78
Trying to make sense of rodents' drug choice behavior
Ahmed, S. H. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.09.027 · Cited by 74
Neural circuitry and mechanisms of waiting impulsivity: relevance to addiction
Dalley, J. W., & Ersche, K. D. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0145 · Cited by 81
Pickard, H. (2016) · Mind & Language · doi:10.1111/mila.12106 · Cited by 81
Moody, L. N., Franck, C. T., Hatz, L. E., & Bickel, W. K. (2015) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000059 · Cited by 74
Self-citationSheffer, C. E., Bickel, W. K., Brandon, T. H., Franck, C. T., Deen, D., Panissidi, L., Abdali, S. A., Pittman, J. C., Lunden, S. E., Prashad, N., et al. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.09.037 · Cited by 73
Self-citationExecutive functioning and substance use in adolescence: Neurobiological and behavioral perspectives
Kim‐Spoon, J., Kahn, R. E., Lauharatanahirun, N., Deater-Deckard, K. D., Bickel, W. K., Chiu, P. H., & King‐Casas, B. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.04.020 · Cited by 73
Self-citationMichaelson, L., & Munakata, Y. (2020) · Psychological Science · doi:10.1177/0956797619896270 · Cited by 67
A randomized clinical trial of cue exposure treatment through virtual reality for smoking cessation
Pericot‐Valverde, I., Secades‐Villa, R., & Gutiérrez‐Maldonado, J. (2018) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2018.10.003 · Cited by 67
Impulsivity traits and gambling cognitions associated with gambling preferences and clinical status
Navas, J. F., Billieux, J., Perandrés‐Gómez, A., López-Torrecillas, F., Cândido, A., & Perales, J. C. (2017) · International Gambling Studies · doi:10.1080/14459795.2016.1275739 · Cited by 69
Rupp, C. I., Beck, K., Heinz, A., Kemmler, G., Manz, S., Tempel, K., & Fleischhacker, W. W. (2015) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12924 · Cited by 74
Long-term test–retest reliability of delayed reward discounting in adolescents
Anokhin, A. P., Golosheykin, S., & Mulligan, R. C. (2015) · Behavioural Processes · doi:10.1016/j.beproc.2014.11.008 · Cited by 65
Effects of Medial Orbitofrontal Cortex Lesions on Self-Control in Intertemporal Choice
Peters, J., & D’Esposito, M. (2016) · Current Biology · doi:10.1016/j.cub.2016.07.035 · Cited by 65
Computerized Working-Memory Training as a Candidate Adjunctive Treatment for Addiction
Bickel, W. K. (2014) · Alcohol research · doi:10.35946/arcr.v36.1.12 · Cited by 65
Self-citationTexting while driving as impulsive choice: A behavioral economic analysis
Hayashi, Y., Russo, C. T., & Wirth, O. (2015) · Accident Analysis & Prevention · doi:10.1016/j.aap.2015.07.025 · Cited by 64
Temporal discounting as a candidate behavioral marker of obesity
Bickel, W. K., Lemos, R. F., Tomlinson, D. C., Craft, W. H., Keith, D. R., Athamneh, L. N., Basso, J. C., & Epstein, L. H. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.07.035 · Cited by 68
Self-citationPerspectives on neurocognitive rehabilitation as an adjunct treatment for addictive disorders
Rezapour, T., DeVito, E. E., Sofuoglu, M., & Ekhtiari, H. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.022 · Cited by 65
Tedford, S. E., Persons, A. L., & Napier, T. C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0122063 · Cited by 66
Rochat, L., Maurage, P., Heeren, A., & Billieux, J. (2018) · Neuropsychology Review · doi:10.1007/s11065-018-9387-3 · Cited by 66
Moody, L. N., Franck, C. T., & Bickel, W. K. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.01.009 · Cited by 60
Self-citationAthamneh, L. N., Stein, M. D., Lin, E. H., Stein, J. S., Mellis, A. M., Gatchalian, K. M., Epstein, L. H., & Bickel, W. K. (2020) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000351 · Cited by 59
Self-citationCiaramelli, E., Luca, F. D., Kwan, D. T., Mok, J., Bianconi, F., Knyagnytska, V., Craver, C. F., Green, L., Myerson, J., & Rosenbaum, R. S. (2021) · eLife · doi:10.7554/elife.67387 · Cited by 68
Mellis, A. M., Snider, S. E., Deshpande, H. U., LaConte, S. M., & Bickel, W. K. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.06.010 · Cited by 62
Self-citationLees, B., Garcia, A. M., Debenham, J., Kirkland, A. E., Bryant, B. E., Mewton, L. R., & Squeglia, L. M. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108500 · Cited by 64
Tian, M., Tao, R., Zheng, Y., Zhang, H., Yang, G., Li, Q., & Liu, X. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.018 · Cited by 62
Effects of prospective thinking on intertemporal choice: the role of familiarity
Sasse, L. K., Peters, J., Büchel, C., & Brassen, S. (2015) · Human Brain Mapping · doi:10.1002/hbm.22912 · Cited by 54
Impulsive decision-making predicts the course of substance-related and addictive disorders
Kräplin, A., Höfler, M., Pooseh, S., Wolff, M., Krönke, K., Goschke, T., Bühringer, G., & Smolka, M. N. (2020) · Psychopharmacology · doi:10.1007/s00213-020-05567-z · Cited by 61
Bernhardt, N. R., Nebe, S., Pooseh, S., Sebold, M., Sommer, C., Birkenstock, J., Zimmermann, U. S., Heinz, A., & Smolka, M. N. (2017) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13481 · Cited by 58
Schüller, C. B., Kuhn, J., Jessen, F., & Hu, X. (2019) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2018.1557675 · Cited by 52
Comparing hyperbolic, delay-amount sensitivity and present-bias models of delay discounting
Mitchell, S. H., Wilson, V. B., & Karalunas, S. L. (2015) · Behavioural Processes · doi:10.1016/j.beproc.2015.03.006 · Cited by 50
Effects of amphetamine on delay discounting in rats depend upon the manner in which delay is varied
Maguire, D. R., Henson, C., & France, C. P. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.04.012 · Cited by 50
Does delay discounting predict maladaptive health and financial behaviors in smokers?
Snider, S. E., DeHart, W., Epstein, L., & Bickel, W. (2018) · Health Psychology · doi:10.1037/hea0000695 · Cited by 48
Self-citationA systematic review and meta-analysis of delay discounting and cannabis use.
Strickland, J. C., Lee, D. C., Vandrey, R. G., & Johnson, M. W. (2020) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000378 · Cited by 50
Discounting of Delayed Rewards as an Endophenotype
Bickel, W. K. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.03.003 · Cited by 48
Self-citationAberrant decision-making and drug addiction — how strong is the evidence?
Ekhtiari, H., Victor, T. A., & Paulus, M. P. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.09.002 · Cited by 48
Risk preferences impose a hidden distortion on measures of choice impulsivity
López-Guzmán, S., Konova, A. B., Louie, K., & Glimcher, P. W. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191357 · Cited by 51
Sex Differences and Effects of Predictive Cues on Delayed Punishment Discounting
Liley, A. E., Gabriel, D. B. K., Sable, H. J. K., & Simon, N. W. (2019) · eNeuro · doi:10.1523/eneuro.0225-19.2019 · Cited by 48
A Reinforcer Pathology perspective on relapse
Bickel, W. K., & Athamneh, L. N. (2019) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.564 · Cited by 48
Self-citationNoda, Y., Barr, M. S., ElSalhy, M., Masuda, F., Tarumi, R., Ogyu, K., Wada, M., Tsugawa, S., Miyazaki, T., Nakajima, S., et al. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109822 · Cited by 47
Strickland, J. C., & Lacy, R. T. (2020) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000358 · Cited by 46
Grit in patients with substance use disorders
Griffin, M. L., McDermott, K. A., McHugh, R. K., Fitzmaurice, G. M., & Weiss, R. D. (2016) · American Journal on Addictions · doi:10.1111/ajad.12460 · Cited by 47
Wagner, B., Clos, M., Sommer, T., & Peters, J. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0592-20.2020 · Cited by 44
Canchy, L., Girardeau, P., Durand, A., Vouillac‐Mendoza, C., & Ahmed, S. H. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0786-9 · Cited by 56
New Developments in Behavioral Treatments for Substance Use Disorders
Kiluk, B. D., & Carroll, K. M. (2013) · Current Psychiatry Reports · doi:10.1007/s11920-013-0420-1 · Cited by 45
The alcohol purchase task in young men from the general population
Bertholet, N., Murphy, J. G., Daeppen, J., Gmel, G. E., & Gaume, J. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.10.024 · Cited by 45
Delay and probability discounting by drug-dependent cocaine and marijuana users
Cruz, D. M., Green, L., Myerson, J., Chainé, S. M., & Nieto, J. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4316-8 · Cited by 51
Voon, V., & Dalley, J. W. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2015_5013 · Cited by 46
Bickel, W. K., Quisenberry, A. J., & Snider, S. E. (2015) · Psychopharmacology · doi:10.1007/s00213-015-4148-y · Cited by 46
Self-citationCognitive control modulates effects of episodic simulation on delay discounting in aging
Sasse, L. K., Peters, J., & Brassen, S. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00058 · Cited by 42
Monetary delay discounting in gambling and cocaine dependence with personality comorbidities
Albein‐Urios, N., Martínez-González, J. M., Lozano, O. M., & Verdejo‐García, A. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.06.001 · Cited by 42
Decreased delay discounting in former cigarette smokers at one year after treatment
Secades‐Villa, R., Weidberg, S. E., García–Rodríguez, O., Hermida, J. R. F., & Yoon, J. H. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.03.015 · Cited by 51
Will delay discounting predict intention to quit smoking?
Athamneh, L. N., Stein, J. S., & Bickel, W. K. (2017) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000129 · Cited by 43
Self-citationThe Effects of Financial Education on Impulsive Decision Making
DeHart, W. B., Friedel, J. E., Lown, J. M., & Odum, A. L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159561 · Cited by 48
Pickard, H. (2018) · Routledge eBooks · doi:10.4324/9781315689197-2 · Cited by 41
Rethinking time: Implications for well‐being
Mogilner, C., Ersner-Hershfield, H., & Aaker, J. L. (2017) · Consumer Psychology Review · doi:10.1002/arcp.1003 · Cited by 41
Ahmed, S. H. (2018) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2017.07.005 · Cited by 39
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Metadata
- Authors
- Bickel, W. K., Koffarnus, M. N., Moody, L., & Wilson, A. G.
- Affiliations
- Carilion Clinic (US)
- Corresponding author
- Bickel, Warren K.
- Venue
- Neuropharmacology
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 76
- Pages
- 518-527
- ISSN
- 0028-3908 (ISSN-L)
- PMC
- PMC3858579
- OpenAlex
- W2063553039
- Cited by
- 386
- References
- 114
- Citations by year
- 2026: 23 · 2025: 22 · 2024: 20 · 2023: 27 · 2022: 21 · 2021: 33 · 2020: 39 · 2019: 50 · 2018: 26 · 2017: 35 · 2016: 39 · 2015: 31 · 2014: 17
- FWCI
- 3.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuropharmacology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (R01DA024080, R01DA030241, R01DA034755)
- National Cancer Institute (U19CA157345)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- delay discounting, addiction, behavioral markers, drug addiction, addiction severity, addiction risk, behavioral economics, neuroeconomics, personalized treatment
- MeSH terms
- Brain, Choice Behavior, Humans, Behavior, Addictive, Substance-Related Disorders, Economics, Behavioral
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