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Addiction and the adaptive cycle

A new focus

Bibliographic Data

ID15397646
AuthorsJason Randle (0000-0003-3277-2462, corresponding author), Jason M Randle, Mirella L Stroink (0000-0002-8311-0939), Connie Nelson (Lakehead University), Connie H Nelson
Year2014
Volume23
Issue1
Pages81-88
Publication date2014-07-17
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAddiction Research & Theory (JOURNAL)
Journal identifiersISSN: 1476-7392 • E-ISSN: 1606-6359
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.3109/16066359.2014.942295
OpenAlexW1993336473
LanguageEN
Citations received11
References cited29

This paper explores addiction through the lens of complex adaptive systems theory, as an emergent, non-linear phenomenon that undergoes cyclical patterns of stability and change. Particularly, an addiction is a behavioural pattern that emerges through the dynamic interactions of numerous variables operating both within the individual and in the environment. Furthermore, we argue that an addiction moves through the four phases of the adaptive cycle and exists at a given scale nested within a panarchy of other complex systems. Each of these complex adaptive systems is moving through its own adaptive cycle at faster and slower rates, affecting the course of addiction in various ways. We conclude this work by suggesting that forthcoming addiction interventions and research may benefit from the consideration that addiction is a function of three separate, but related, adaptive cycles; the addiction cycle itself; a transitory cycle, and a final cycle in which the individual is actively responsible for the maintenance of his or her own recovery

Addiction · Biology · Cognitive psychology · Control (management · Control theory (sociology · Function (biology · Machine learning · Phenomenon · Psychiatry · Psychological intervention · Stability (learning theory · Computer Science · Evolutionary Game Theory and Cooperation · Mathematical and Theoretical Epidemiology and Ecology Models · Mental Health Research Topics · Neuroscience · Psychology · Artificial Intelligence

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Unique citing works11
Citations per year1,57
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 11

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