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Published Online: 1 September 2018

Computer-Delivered, Evidence-Supported Treatment for Drug Addiction

You could be forgiven for inferring, from the sustained energy and resources that have been invested in the development of new behavioral interventions for addiction, that the transfer of those interventions into widespread practice—and the consequent improvement in population health—were well established phenomena. You would be wrong. There is abundant evidence that empirically supported treatments are not making their way into the community (13) and that very few of those in need of treatment receive it (4). Kazdin and Blase (5) sum up this state of affairs: “Despite advances, mental health professionals are not likely to reduce the prevalence, incidence, and burden of mental illness without a major shift in intervention research and clinical practice.”
In this issue, Kiluk et al. (6) provide what may be the strongest evidence yet that technology-delivered treatment should be embraced as one such major shift. CBT4CBT is an interactive, visually rich computer-delivered intervention that uses videos of individuals (actors) struggling with substance use disorders to teach effective use of cognitive-behavioral therapy (CBT) strategies. Previous research has demonstrated CBT4CBT’s sustained efficacy as an adjunct to traditional services, with medium-sized effects over and above treatment as usual (710). Demonstration of superior effects compared with an active comparator is itself notable. However, as stated above, treatment as usual in the community may not reflect best practices; furthermore, treatment as usual in past CBT4CBT studies (as with the present article by Kiluk et al.) was largely group based. How might this computer-delivered intervention fare against individual therapy using a manualized empirically supported treatment?
To address this question, Kiluk et al. tested CBT4CBT plus weekly in-person monitoring against therapist-delivered, manual-guided CBT as well as against treatment as usual in a community setting. The findings are striking: 1) Participants assigned to either therapist- or computer-delivered CBT showed greater during-treatment reductions in substance use than those assigned to treatment as usual; 2) only CBT4CBT plus monitoring showed stronger effects than treatment as usual at 6-month follow-up; 3) participants assigned to CBT4CBT plus monitoring completed the most treatment sessions, and those in individual CBT the fewest; and 4) satisfaction and learning of CBT concepts were both highest in the CBT4CBT plus monitoring condition. These findings challenge the assumption that intensive individual therapist contact should always be seen as the best possible nonpharmacological option, with other approaches being only poor substitutes. Kiluk et al. show that technology combined with brief therapist contact may be at least as efficacious and more acceptable than either manual-guided or eclectic community-based alternatives.
But of course there is much more to be done. As always, research should identify moderators and mediators of any treatment effects (an endeavor Carroll and colleagues have already begun [11, 12]), and should seek further replications with diverse samples. A number of specific questions should also be addressed. For example, how might CBT4CBT fare when accessed from participants’ own mobile devices (perhaps with online rather than printed homework, using text messages to prompt homework completion)? Is CBT4CBT equally efficacious for those not presenting at a specialty treatment center (for example, with patients identified via primary care)? Are effects similar if the check-ins take place by telephone, e-mail, text messaging, chat, or video chat? In a pragmatic trial offering participants a choice, what proportion would choose CBT4CBT, and would treatment effects be stronger among those given a choice of modality? Finally, what are the effects of CBT4CBT itself (eminently scalable in isolation) when divorced from the weekly check-ins?
We are not, or should not be, a field dedicated to change only via pharmacological or therapist-delivered means. We instead should be committed broadly to relieving the burden of addiction, with no more or less investment in any one approach than is merited by the data. In the case of technology-delivered interventions, cautious further investment appears warranted.

References

1.
Institute of Medicine: Bridging the Gap Between Practice and Research: Forging Partnerships With Community-Based Drug and Alcohol Treatment. Washington, DC, National Academies Press, 1998
2.
Delany PJ, Shields JJ, Willenbring ML, et al: Expanding the role of health services research as a tool to reduce the public health burden of alcohol use disorders. Subst Use Misuse 2008; 43:1729–1746
3.
Miller WR, Sorensen JL, Selzer JA, et al: Disseminating evidence-based practices in substance abuse treatment: a review with suggestions. J Subst Abuse Treat 2006; 31:25–39
4.
Substance Abuse and Mental Health Services Administration: Key substance use and mental health indicators in the United States: results from the 2016 National Survey on Drug Use and Health (HHS Publication No SMA 17-5044, NSDUH Series H-52). Rockville, Md, Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration, 2017. https://www.samhsa.gov/data/sites/default/files/NSDUH-FFR1-2016/NSDUH-FFR1-2016.htm
5.
Kazdin AE, Blase SL: Rebooting psychotherapy research and practice to reduce the burden of mental illness. Perspect Psychol Sci 2011; 6:21–37
6.
Kiluk BD, Nich C, Buck MB, et al: Randomized clinical trial of computerized and clinician-delivered CBT in comparison with standard outpatient treatment for substance use disorders: primary within-treatment and follow-up outcomes. Am J Psychiatry 2018; 175:853–863
7.
Kiluk BD, Devore KA, Buck MB, et al: Randomized trial of computerized cognitive behavioral therapy for alcohol use disorders: efficacy as a virtual stand-alone and treatment add-on compared with standard outpatient treatment. Alcohol Clin Exp Res 2016; 40:1991–2000
8.
Carroll KM, Kiluk BD, Nich C, et al: Computer-assisted delivery of cognitive-behavioral therapy: efficacy and durability of CBT4CBT among cocaine-dependent individuals maintained on methadone. Am J Psychiatry 2014; 171:436–444
9.
Carroll KM, Ball SA, Martino S, et al: Enduring effects of a computer-assisted training program for cognitive behavioral therapy: a 6-month follow-up of CBT4CBT. Drug Alcohol Depend 2009; 100:178–181
10.
Carroll KM, Ball SA, Martino S, et al: Computer-assisted delivery of cognitive-behavioral therapy for addiction: a randomized trial of CBT4CBT. Am J Psychiatry 2008; 165:881–888
11.
Morie KP, Nich C, Hunkele K, et al: Alexithymia level and response to computer-based training in cognitive behavioral therapy among cocaine-dependent methadone maintained individuals. Drug Alcohol Depend 2015; 152:157–163
12.
DeVito EE, Kiluk BD, Nich C, et al: Drug Stroop: mechanisms of response to computerized cognitive behavioral therapy for cocaine dependence in a randomized clinical trial. Drug Alcohol Depend 2018; 183:162–168

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 815 - 816
PubMed: 30173553

History

Accepted: 31 May 2018
Published online: 1 September 2018
Published in print: September 01, 2018

Keywords

  1. Psychosocial Aspects Of Drug Treatment
  2. Substance-Related Disorders
  3. Behavior Therapy
  4. Cognitive Therapy

Authors

Affiliations

Steven J. Ondersma, Ph.D. [email protected]
From the Merrill-Palmer Skillman Institute and the Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit.

Notes

Address correspondence to Dr. Ondersma ([email protected]).

Funding Information

Dr. Ondersma is part owner of Interva, Inc., which markets e-intervention authoring software (owned by Wayne State University) to other researchers (neither Dr. Ondersma nor Interva has any financial relationship with CBT4CBT). Dr. Freedman has reviewed this editorial and found no evidence of influence from this relationship.

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