The DOI matches its Crossref record, with a small difference in title or year; 186 of the 187 references it cites were found in a registry or an index.
Gambling Disorder and Other Behavioral Addictions: Recognition and Treatment
Open accessAbstract
Addiction professionals and the public are recognizing that certain nonsubstance behaviors--such as gambling, Internet use, video-game playing, sex, eating, and shopping--bear resemblance to alcohol and drug dependence. Growing evidence suggests that these behaviors warrant consideration as nonsubstance or "behavioral" addictions and has led to the newly introduced diagnostic category "Substance-Related and Addictive Disorders" in DSM-5. At present, only gambling disorder has been placed in this category, with insufficient data for other proposed behavioral addictions to justify their inclusion. This review summarizes recent advances in our understanding of behavioral addictions, describes treatment considerations, and addresses future directions. Current evidence points to overlaps between behavioral and substance-related addictions in phenomenology, epidemiology, comorbidity, neurobiological mechanisms, genetic contributions, responses to treatments, and prevention efforts. Differences also exist. Recognizing behavioral addictions and developing appropriate diagnostic criteria are important in order to increase awareness of these disorders and to further prevention and treatment strategies.
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“Both pharmacological and psychological treatments have been suggested, similar to what is recommended for gambling disorder and other behavioral addictions (e.g., Grant et al., 2013;Yau and Potenza, 2015), and initial studies suggest varying degrees of efficacy (Cash et al., 2012;Santos et al., 2016;Winkler et al., 2013;Young, 2013).”
From Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model (2016) · cites this paper as Yau and Potenza, 2015
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Self-citationVerdejo‐García, A., Lawrence, A. J., & Clark, L. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.11.003 · Cited by 1,502
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Impulse Control Disorders in Parkinson Disease
Weintraub, D. A., Koester, J., Potenza, M. N., Siderowf, A. D., Stacy, M. A., Voon, V., Whetteckey, J., Wunderlich, G. R., & Lang, A. E. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.65 · Cited by 1,493
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Neurobiology of addiction: a neurocircuitry analysis
Koob, G. F., & Volkow, N. D. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00104-8 · Cited by 3,698
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,416
Self-citationInternet gaming disorder in children and adolescents: a systematic review
Paulus, F. W., Ohmann, S., von Gontard, A., & Popow, C. (2018) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.13754 · Cited by 730
“Recent research describes neurobiological anomalies in pathological gamers such as altered grey matter volume, functional connectivity, and activation in specific brain regions (especially the ventromedial prefrontal cortex) and neurobiological correlates to disorder-specific behaviours and symptoms.(92) It is not cle…”
BackgroundEthics of the Attention Economy: The Problem of Social Media Addiction
Bhargava, V. R., & Velasquez, M. (2021) · Business Ethics Quarterly · doi:10.1017/beq.2020.32 · Cited by 292
“1 Yet some researchers argue that addictions do not involve compulsion (Heyman, 2009; Schaler, 2000) and others that addictions need not involve a habit-forming substance (Rosenberg & Feder, 2014; Yau & Potenza, 2015).”
BackgroundNeuroscience of Internet Pornography Addiction: A Review and Update
Love, T., Laier, C., Brand, M., Hatch, L., & Hajela, R. (2015) · Behavioral Sciences · doi:10.3390/bs5030388 · Cited by 262
“Yau, Potenza, Mayes and Crowley [151] employed a Balloon Analogue Risk Task (BART), and reported lower feedback-related negativity (FRN) and P300 amplitudes in “at risk problematic Internet users” compared to controls.”
BackgroundInfluential
Metadata
- Authors
- Yau, Y. H. C., & Potenza, M. N.
- Affiliations
- Yale University (US)
- Corresponding author
- Potenza, Marc N.
- Venue
- Harvard Review of Psychiatry
- Published
- 2015-03
- Volume
- 23
- Issue
- 2
- Pages
- 134-146
- ISSN
- 1067-3229 (ISSN-L)
- PMC
- PMC4458066
- OpenAlex
- W2096389535
- Cited by
- 267
- References
- 187
- Citations by year
- 2026: 26 · 2025: 33 · 2024: 31 · 2023: 34 · 2022: 31 · 2021: 26 · 2020: 22 · 2019: 21 · 2018: 18 · 2017: 7 · 2016: 15 · 2015: 3
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Harvard Review of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (R01DA018647, P50DA009241, R01DA035058, P20DA027844)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- gambling addiction, behavioral addiction, DSM-5, substance-related and addictive disorders, comorbidities, neurobiology of addiction, genetic contribution, treatment, prevention, internet addiction, sexual addiction, eating disorders, compulsive buying, gaming addiction
- MeSH terms
- Gambling, Humans, Cognitive Behavioral Therapy, Behavior, Addictive, Internet, Diagnostic and Statistical Manual of Mental Disorders
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