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Relapse prevention for addictive behaviors

Overview of attention for article published in Substance Abuse Treatment, Prevention, and Policy, July 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 676)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
policy
1 policy source
twitter
8 X users
patent
1 patent
facebook
3 Facebook pages

Citations

dimensions_citation
298 Dimensions

Readers on

mendeley
604 Mendeley
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Title
Relapse prevention for addictive behaviors
Published in
Substance Abuse Treatment, Prevention, and Policy, July 2011
DOI 10.1186/1747-597x-6-17
Pubmed ID
Authors

Christian S Hendershot, Katie Witkiewitz, William H George, G Alan Marlatt

Abstract

The Relapse Prevention (RP) model has been a mainstay of addictions theory and treatment since its introduction three decades ago. This paper provides an overview and update of RP for addictive behaviors with a focus on developments over the last decade (2000-2010). Major treatment outcome studies and meta-analyses are summarized, as are selected empirical findings relevant to the tenets of the RP model. Notable advances in RP in the last decade include the introduction of a reformulated cognitive-behavioral model of relapse, the application of advanced statistical methods to model relapse in large randomized trials, and the development of mindfulness-based relapse prevention. We also review the emergent literature on genetic correlates of relapse following pharmacological and behavioral treatments. The continued influence of RP is evidenced by its integration in most cognitive-behavioral substance use interventions. However, the tendency to subsume RP within other treatment modalities has posed a barrier to systematic evaluation of the RP model. Overall, RP remains an influential cognitive-behavioral framework that can inform both theoretical and clinical approaches to understanding and facilitating behavior change.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 604 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Hong Kong 1 <1%
Australia 1 <1%
Norway 1 <1%
Belgium 1 <1%
Brazil 1 <1%
Spain 1 <1%
China 1 <1%
Unknown 594 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 98 16%
Student > Bachelor 73 12%
Student > Ph. D. Student 72 12%
Student > Doctoral Student 56 9%
Researcher 52 9%
Other 113 19%
Unknown 140 23%
Readers by discipline Count As %
Psychology 223 37%
Medicine and Dentistry 70 12%
Nursing and Health Professions 36 6%
Social Sciences 34 6%
Neuroscience 22 4%
Other 63 10%
Unknown 156 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 116. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 December 2022.
All research outputs
#326,829
of 23,814,046 outputs
Outputs from Substance Abuse Treatment, Prevention, and Policy
#9
of 676 outputs
Outputs of similar age
#1,116
of 121,351 outputs
Outputs of similar age from Substance Abuse Treatment, Prevention, and Policy
#2
of 8 outputs
Altmetric has tracked 23,814,046 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 121,351 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.