262
Views
0
CrossRef citations to date
0
Altmetric
Think Piece

Unheard risk: considering the role of intrusive cognitions in relapse

ORCID Icon & ORCID Icon
Pages 239-249 | Received 16 Jun 2022, Accepted 21 Oct 2022, Published online: 09 Nov 2022
 

Abstract

Substance use disorders (SUD) represent a pervasive and ongoing public health crisis responsible for many deaths and hospitalizations each year. Despite decades of research, we have yet to develop an effective cross-substance treatment model. Many who seek and enter treatment for SUD end up relapsing despite their intentions. Inconsistency in treatment success necessitates the identification of novel, universal therapeutic targets in the underlying core mechanisms of SUD. Determining the cognitive mechanisms which promote addictive behaviors is an essential first step to fully understand relapse and maintenance in SUD. The goal of the current review is to explore underlying cognitive processes which prolong SUD despite treatment. Through this, we propose a mechanistic model for how intrusive cognitions may jeopardize symptom improvement and SUD treatment success via risky decision making. Intrusive cognitions - images, words, memories, or impulses - demand little cognitive effort, and lend themselves to quick action and decisions. In the current paper, we present evidence which shows how intrusive cognitions, poorly inhibited, could impair the decision making process in SUD and lead to subsequent addictive behaviors.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 416.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.