The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Addiction as excessive appetite
Abstract
The excessive appetite model of addiction is summarized. The paper begins by considering the forms of excessive appetite which a comprehensive model should account for: principally, excessive drinking, smoking, gambling, eating, sex and a diverse range of drugs including at least heroin, cocaine and cannabis. The model rests, therefore, upon a broader concept of what constitutes addiction than the traditional, more restricted, and arguably misleading definition. The core elements of the model include: very skewed consumption distribution curves; restraint, control or deterrence; positive incentive learning mechanisms which highlight varied forms of rapid emotional change as rewards, and wide cue conditioning; complex memory schemata; secondary, acquired emotional regulation cycles, of which 'chasing', 'the abstinence violation effect' and neuroadaptation are examples; and the consequences of conflict. These primary and secondary processes, occurring within diverse sociocultural contexts, are sufficient to account for the development of a strong attachment to an appetitive activity, such that self‐control is diminished, and behaviour may appear to be disease‐like. Giving up excess is a natural consequence of conflict arising from strong and troublesome appetite. There is much supportive evidence that change occurs outside expert treatment, and that when it occurs within treatment the change processes are more basic and universal than those espoused by fashionable expert theories.
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Citations
Cites
In search of how people change: Applications to addictive behaviors.
Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1992) · American Psychologist · doi:10.1037/0003-066x.47.9.1102 · Cited by 8,596
Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.112.1.64 · Cited by 5,428
Binge eating as escape from self-awareness
Heatherton, T. F., & Baumeister, R. F. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.1.86 · Cited by 2,259
Alcohol myopia: Its prized and dangerous effects.
Steele, C. M., & Josephs, R. A. (1990) · American Psychologist · doi:10.1037/0003-066x.45.8.921 · Cited by 2,070
Meta‐analysis of cue‐reactivity in addiction research
Carter, B. L., & Tiffany, S. T. (1999) · Addiction · doi:10.1046/j.1360-0443.1999.9433273.x · Cited by 1,638
A self-awareness model of the causes and effects of alcohol consumption
Hull, J. G. (1981) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.90.6.586 · Cited by 528
Tonigan, J. S., Toscova, R., & Miller, W. R. (1996) · Journal of Studies on Alcohol · doi:10.15288/jsa.1996.57.65 · Cited by 350
Cited by
Imaginary Relish and Exquisite Torture: The Elaborated Intrusion Theory of Desire.
Kavanagh, D. J., Andrade, J., & May, J. (2005) · Psychological Review · doi:10.1037/0033-295x.112.2.446 · Cited by 956
Elphinston, R. A., & Noller, P. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0318 · Cited by 596
Online gaming addiction in children and adolescents: A review of empirical research
Kuss, D. J., & Griffiths, M. D. (2012) · Journal of Behavioral Addictions · doi:10.1556/jba.1.2012.1.1 · Cited by 418
Billieux, J., Philippot, P., Schmid, C., Maurage, P., De Mol, J., & Van der Linden, M. (2015) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.1910 · Cited by 329
Drugs as instruments: A new framework for non-addictive psychoactive drug use
Müller, C. P., & Schumann, G. (2011) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000057 · Cited by 286
Metadata
- Authors
- Orford, J.
- Venue
- Addiction
- Publisher
- Wiley
- Published
- 2001-01
- Volume
- 96
- Issue
- 1
- Pages
- 15-31
- ISSN
- 0965-2140 (ISSN-L)
- 1360-0443
- OpenAlex
- W2144293141
- Cited by
- 304
- References
- 7
- FWCI
- 4.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.