Literature DB >> 25066309

The forest and the trees: relational and specific factors in addiction treatment.

William R Miller1, Theresa B Moyers.   

Abstract

AIMS: Increased expectations for the use of evidence-based methods in addiction treatment have fueled a debate regarding the relative importance of 'specific' versus 'common' factors in treatment outcome. This review explores the influence of these factors on addiction treatment outcome.
METHODS: The authors review and link findings from four decades of research on specific and general factors in addiction treatment outcome research.
FINDINGS: Although few would argue that what one does in addiction treatment is immaterial, outcome studies tend to find small to no difference when specific treatment methods are compared with each other or with treatment as usual. In contrast, there are usually substantial differences among therapists in client outcomes, and relational factors such as therapist empathy and therapeutic alliance can be significant determinants of addiction treatment outcome.
CONCLUSIONS: In addiction treatment, relational factors such as empathy, which are often described as common, non-specific factors, should not be dismissed as 'common' because they vary substantially across providers and it is unclear how common they actually are. Similarly they should not be relegated to 'non-specific' status, because such important relational influences can be specified and incorporated into clinical research and training.
© 2014 Society for the Study of Addiction.

Keywords:  Common factors; empathy; outcome; specific factors; therapeutic relationship; therapist factors; treatment

Mesh:

Year:  2014        PMID: 25066309     DOI: 10.1111/add.12693

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  48 in total

1.  Therapist and client discussions of drinking and coping: a sequential analysis of therapy dialogues in three evidence-based alcohol use disorder treatments.

Authors:  Molly Magill; Justin Walthers; Nadine R Mastroleo; Jacques Gaume; Richard Longabaugh; Timothy R Apodaca
Journal:  Addiction       Date:  2016-02-25       Impact factor: 6.526

2.  Patient Pre-Treatment Expectations Do Not Predict Cocaine Use Outcomes: Data From Four Clinical Trials.

Authors:  Kelly Serafini; Brian D Kiluk; Theresa Babuscio; Kathleen M Carroll
Journal:  Subst Use Misuse       Date:  2016-06-29       Impact factor: 2.164

3.  Precuneus: A Key on the Road to Translation.

Authors:  Sarah W Feldstein Ewing; Tammy Chung
Journal:  Alcohol Clin Exp Res       Date:  2019-04-08       Impact factor: 3.455

4.  Testing variability in response to a brief alcohol intervention: The role of self-regulation and the therapeutic relationship.

Authors:  Hector I Lopez-Vergara; Jennifer E Merrill; Kate B Carey
Journal:  Psychol Addict Behav       Date:  2018-01-25

5.  An exploratory evaluation of Take Control: A novel computer-delivered behavioral platform for placebo-controlled pharmacotherapy trials for alcohol use disorder.

Authors:  Eric G Devine; Megan L Ryan; Daniel E Falk; Joanne B Fertig; Raye Z Litten
Journal:  Contemp Clin Trials       Date:  2016-08-10       Impact factor: 2.226

6.  Adherence and competence in two manual-guided therapies for co-occurring substance use and posttraumatic stress disorders: clinician factors and patient outcomes.

Authors:  Andrea Meier; Mark P McGovern; Chantal Lambert-Harris; Bethany McLeman; Anna Franklin; Elizabeth C Saunders; Haiyi Xie
Journal:  Am J Drug Alcohol Abuse       Date:  2015-08-18       Impact factor: 3.829

Review 7.  Cognitive behavioral interventions for alcohol and drug use disorders: Through the stage model and back again.

Authors:  Kathleen M Carroll; Brian D Kiluk
Journal:  Psychol Addict Behav       Date:  2017-08-31

Review 8.  Guidelines for the Reporting of Treatment Trials for Alcohol Use Disorders.

Authors:  Katie Witkiewitz; John W Finney; Alex H S Harris; Daniel R Kivlahan; Henry R Kranzler
Journal:  Alcohol Clin Exp Res       Date:  2015-08-11       Impact factor: 3.455

Review 9.  Recommendations for the Design and Analysis of Treatment Trials for Alcohol Use Disorders.

Authors:  Katie Witkiewitz; John W Finney; Alex H S Harris; Daniel R Kivlahan; Henry R Kranzler
Journal:  Alcohol Clin Exp Res       Date:  2015-08-06       Impact factor: 3.455

10.  Predictive Validity of Addiction Treatment Clinicians' Post-Training Contingency Management Skills for Subsequent Clinical Outcomes.

Authors:  Bryan Hartzler; Blair Beadnell; Dennis Donovan
Journal:  J Subst Abuse Treat       Date:  2015-11-26
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