Clinical Trials Logo

Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT03842670
Other study ID # 1240557-4
Secondary ID
Status Active, not recruiting
Phase N/A
First received
Last updated
Start date November 14, 2018
Est. completion date September 30, 2024

Study information

Verified date May 2023
Source University of New Mexico
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Alcohol Use Disorder (AUD) is a significant public health problem, with prevalence rates of 13.9% for current and 29.1% for lifetime diagnosis (Grant et al., 2015). AUD creates harm at the individual, familial, and societal level, with an estimated societal cost of $249 billion (Sacks et al., 2015) per year. The course of AUD typically is characterized by periods of relapse to problematic drinking (Maisto et al., 2014), signaling a need for better treatments and understanding of mechanisms of behavior change. The goal of this research is to conduct a randomized clinical trial with 140 participants who have an Alcohol Use Disorder (AUD). Each participant will complete behavioral assessments, self-report surveys and brain imaging before and after receiving psychotherapy treatment to change their drinking behaviors. Various aspects of behavior change will be looked at to better understand changes in brain function and emotional reactivity when someone changes their patterns of alcohol use. The two treatment used in this study have been found to be helpful in reducing alcohol use. Participants will be randomly assigned to either Mindfulness-Based Relapse Prevention (MBRP) or Cognitive Behavior Therapy (CBT) that will be completed in 12 weekly therapy sessions. It is anticipated that there will be numerous changes in brain function that are found when someone reduces or stops their alcohol use after the completion of 12 weeks of treatment.


Description:

Although pharmacological and psychosocial treatments for alcohol use disorders (AUDs) exist that improve outcomes over natural recovery (Finney et al., 2013), outcomes are still modest. Identifying mechanisms of behavior change (MOBCs) that lead to successful outcomes may be critical for efforts to improve existing treatments or to better match patients with particular treatments. The goal of the proposed research is to conduct a randomized clinical trial to systematically examine pretreatment neurocognitive and behavioral characteristics and changes in brain function over time during two empirically supported treatments for AUD. One hundred forty treatment-seeking individuals with an AUD will be randomized to receive either 8 weeks of Cognitive Behavioral Treatment (CBT) or Mindfulness Based Treatment (MBT) after receiving 4 weeks of a platform treatment that focuses on enhancing motivation to change. Neurocognitive and behavioral characteristics will be measured using neuroimaging, comprehensive behavioral assessments, and patient self-reports. To establish the temporal relationship between changes in drinking and changes in these MOBCs, patients will be assessed at: (a) baseline; (b) four weeks into treatment; (c) immediately post-treatment; and (d) 9- and 15-months post-baseline. Self-report measures and behavioral tasks will be administered at monthly intervals during treatment; and fMRI will be collected at baseline, and at 3, and 9-months post baseline. The primary aim of the study is to examine the effects of the treatments on three hypothesized mechanisms: craving/regulation of craving, cognitive and behavioral control, and regulation of affect/arousal. The secondary aim will identify neurocognitive and behavioral baseline characteristics predictive of reductions in drinking over time and differential patterns of response to CBT or MBT.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 140
Est. completion date September 30, 2024
Est. primary completion date September 30, 2024
Accepts healthy volunteers No
Gender All
Age group 22 Years to 85 Years
Eligibility Inclusion Criteria: 1. Age 22-85 years 2. Self-identify as a heavy/binge/weekly drinker 3. Engage in "hazardous and harmful alcohol use" (Babor et al., 2001) based on an AUDIT score > 8 for men and > 7 for women 4. Breath alcohol level of 0.00 at in-person screening 5. Right handed 6. Explicitly be seeking help for their drinking 7. Alcohol use during the past 30 days Exclusion Criteria: 1. History of brain injury or neurological diagnoses 2. Evidence of current psychosis 3. Past-year substance dependence other than nicotine or marijuana 4. Evidence of recent illicit drug (other than marijuana) use on a urine screen 5. Contraindications for MRI (e.g., medical devices in the body) 6. Female participants who think they may be pregnant must pass a urine pregnancy screen prior to each MRI scanning session 7. Estimated IQ < 80 8. Unable to read or speak English fluently 9. History of major alcohol withdrawal 10. Currently in treatment for alcohol use (or within the past 6 months)

Study Design


Intervention

Behavioral:
Cognitive Behavior Therapy
The CBT condition will include 8 weekly, 60-minute sessions, and will be delivered according to the Epstein & McCrady (2009) cognitive-behavioral treatment manual, excluding material provided in the platform treatment. The treatment manual and accompanying client workbook provide detailed therapist instructions for each session, client exercises, worksheets, and homework assignments. The treatment focuses on cognitive and behavioral coping skills training, and emphasizes problem-solving as an overall approach to dealing with drinking. Treatment sessions may be audio-recorded for supervision and to ensure that the treatment is being delivered as intended.
Mindfulness Based Relapse Prevention
The MBT condition will be adapted from the 8-week version of the mindfulness-based relapse prevention (MBRP) manual (Bowen et al., 2011; Witkiewitz et al., 2005). The main adaptation will be to eliminate the relapse prevention/CBT components and focus attention on mindfulness practices. The mindfulness practices in MBT are designed to increase awareness of triggers and decrease reactivity to distress or discomfort in the presence of triggers (Witkiewitz & Bowen, 2010). The relevant worksheets and homework assignments focusing on mindfulness tools will be maintained from the MBRP manual. Treatment sessions may be audio-recorded for supervision and to ensure that the treatment is being delivered as intended.

Locations

Country Name City State
United States The Mind Research Network Albuquerque New Mexico
United States The University of New Mexico Albuquerque New Mexico

Sponsors (2)

Lead Sponsor Collaborator
University of New Mexico The Mind Research Network

Country where clinical trial is conducted

United States, 

References & Publications (106)

Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. Sage.

Allen EA, Erhardt EB, Damaraju E, Gruner W, Segall JM, Silva RF, Havlicek M, Rachakonda S, Fries J, Kalyanam R, Michael AM, Caprihan A, Turner JA, Eichele T, Adelsheim S, Bryan AD, Bustillo J, Clark VP, Feldstein Ewing SW, Filbey F, Ford CC, Hutchison K, Jung RE, Kiehl KA, Kodituwakku P, Komesu YM, Mayer AR, Pearlson GD, Phillips JP, Sadek JR, Stevens M, Teuscher U, Thoma RJ, Calhoun VD. A baseline for the multivariate comparison of resting-state networks. Front Syst Neurosci. 2011 Feb 4;5:2. doi: 10.3389/fnsys.2011.00002. eCollection 2011. — View Citation

Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behav Res. 2011 May;46(3):399-424. doi: 10.1080/00273171.2011.568786. Epub 2011 Jun 8. — View Citation

Babor, T., Higgins-Biddle, J. C., Saunders, J. B., & Monteiro, M. G. (2001). AUDIT: The Alcohol Use Disorders Identification Test: Guidelines for use in primary care, Second edition. Department of Mental Health and Substance Dependence, World Health Organization.

Bechara A, Damasio H. Decision-making and addiction (part I): impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia. 2002;40(10):1675-89. doi: 10.1016/s0028-3932(02)00015-5. — View Citation

Bechara A, Dolan S, Hindes A. Decision-making and addiction (part II): myopia for the future or hypersensitivity to reward? Neuropsychologia. 2002;40(10):1690-705. doi: 10.1016/s0028-3932(02)00016-7. — View Citation

Bell AJ, Sejnowski TJ. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 1995 Nov;7(6):1129-59. doi: 10.1162/neco.1995.7.6.1129. — View Citation

Bowen S, Chawla N, Collins SE, Witkiewitz K, Hsu S, Grow J, Clifasefi S, Garner M, Douglass A, Larimer ME, Marlatt A. Mindfulness-based relapse prevention for substance use disorders: a pilot efficacy trial. Subst Abus. 2009 Oct-Dec;30(4):295-305. doi: 10.1080/08897070903250084. — View Citation

Bowen S, Witkiewitz K, Clifasefi SL, Grow J, Chawla N, Hsu SH, Carroll HA, Harrop E, Collins SE, Lustyk MK, Larimer ME. Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders: a randomized clinical trial. JAMA Psychiatry. 2014 May;71(5):547-56. doi: 10.1001/jamapsychiatry.2013.4546. — View Citation

Brewer JA, Bowen S, Smith JT, Marlatt GA, Potenza MN. Mindfulness-based treatments for co-occurring depression and substance use disorders: what can we learn from the brain? Addiction. 2010 Oct;105(10):1698-706. doi: 10.1111/j.1360-0443.2009.02890.x. — View Citation

Calhoun VD, Adali T, Pearlson GD, Pekar JJ. A method for making group inferences from functional MRI data using independent component analysis. Hum Brain Mapp. 2001 Nov;14(3):140-51. doi: 10.1002/hbm.1048. Erratum In: Hum Brain Mapp 2002 Jun;16(2):131. — View Citation

Calhoun VD, Adali T. Multisubject independent component analysis of fMRI: a decade of intrinsic networks, default mode, and neurodiagnostic discovery. IEEE Rev Biomed Eng. 2012;5:60-73. doi: 10.1109/RBME.2012.2211076. — View Citation

Cardenas VA, Studholme C, Gazdzinski S, Durazzo TC, Meyerhoff DJ. Deformation-based morphometry of brain changes in alcohol dependence and abstinence. Neuroimage. 2007 Feb 1;34(3):879-87. doi: 10.1016/j.neuroimage.2006.10.015. Epub 2006 Nov 28. — View Citation

Charlet K, Beck A, Jorde A, Wimmer L, Vollstadt-Klein S, Gallinat J, Walter H, Kiefer F, Heinz A. Increased neural activity during high working memory load predicts low relapse risk in alcohol dependence. Addict Biol. 2014 May;19(3):402-14. doi: 10.1111/adb.12103. Epub 2013 Oct 22. — View Citation

Charlet K, Schlagenhauf F, Richter A, Naundorf K, Dornhof L, Weinfurtner CE, Konig F, Walaszek B, Schubert F, Muller CA, Gutwinski S, Seissinger A, Schmitz L, Walter H, Beck A, Gallinat J, Kiefer F, Heinz A. Neural activation during processing of aversive faces predicts treatment outcome in alcoholism. Addict Biol. 2014 May;19(3):439-51. doi: 10.1111/adb.12045. Epub 2013 Mar 7. — View Citation

Claus ED, Ewing SW, Filbey FM, Sabbineni A, Hutchison KE. Identifying neurobiological phenotypes associated with alcohol use disorder severity. Neuropsychopharmacology. 2011 Sep;36(10):2086-96. doi: 10.1038/npp.2011.99. Epub 2011 Jun 15. — View Citation

Claus ED, Feldstein Ewing SW, Filbey FM, Hutchison KE. Behavioral control in alcohol use disorders: relationships with severity. J Stud Alcohol Drugs. 2013 Jan;74(1):141-51. doi: 10.15288/jsad.2013.74.141. — View Citation

Claus ED, Hutchison KE. Neural mechanisms of risk taking and relationships with hazardous drinking. Alcohol Clin Exp Res. 2012 Jun;36(6):932-40. doi: 10.1111/j.1530-0277.2011.01694.x. Epub 2012 Feb 6. — View Citation

Claus ED, Kiehl KA, Hutchison KE. Neural and behavioral mechanisms of impulsive choice in alcohol use disorder. Alcohol Clin Exp Res. 2011 Jul;35(7):1209-19. doi: 10.1111/j.1530-0277.2011.01455.x. Epub 2011 Apr 19. — View Citation

Claus, E.D., Littlewood, R.A., Feldstein Ewing, S.W., Aranella, P., Bogenschutz, M.P., Hutchison, K.E. (unpublished). BOLD response as a potential biomarker predicting treatment response to olanzapine in alcohol dependence.

Conigrave KM, Degenhardt LJ, Whitfield JB, Saunders JB, Helander A, Tabakoff B; WHO/ISBRA Study Group. CDT, GGT, and AST as markers of alcohol use: the WHO/ISBRA collaborative project. Alcohol Clin Exp Res. 2002 Mar;26(3):332-9. — View Citation

DeVito EE, Worhunsky PD, Carroll KM, Rounsaville BJ, Kober H, Potenza MN. A preliminary study of the neural effects of behavioral therapy for substance use disorders. Drug Alcohol Depend. 2012 May 1;122(3):228-35. doi: 10.1016/j.drugalcdep.2011.10.002. Epub 2011 Oct 29. — View Citation

Durazzo TC, Gazdzinski S, Mon A, Meyerhoff DJ. Cortical perfusion in alcohol-dependent individuals during short-term abstinence: relationships to resumption of hazardous drinking after treatment. Alcohol. 2010 May;44(3):201-10. doi: 10.1016/j.alcohol.2010.03.003. — View Citation

Eckardt MJ, Stapleton JM, Rawlings RR, Davis EZ, Grodin DM. Neuropsychological functioning in detoxified alcoholics between 18 and 35 years of age. Am J Psychiatry. 1995 Jan;152(1):53-9. doi: 10.1176/ajp.152.1.53. — View Citation

Elwafi HM, Witkiewitz K, Mallik S, Thornhill TA 4th, Brewer JA. Mindfulness training for smoking cessation: moderation of the relationship between craving and cigarette use. Drug Alcohol Depend. 2013 Jun 1;130(1-3):222-9. doi: 10.1016/j.drugalcdep.2012.11.015. Epub 2012 Dec 21. — View Citation

Epstein, E. E. & McCrady, B. S. (2009a). A cognitive-behavioral treatment program for overcoming alcohol use problems: Therapist guide. New York: Oxford University Press.

Epstein, E. E. & McCrady, B. S. (2009b). A cognitive-behavioral treatment program for overcoming alcohol use problems: Client workbook. New York: Oxford University Press.

Erhardt EB, Rachakonda S, Bedrick EJ, Allen EA, Adali T, Calhoun VD. Comparison of multi-subject ICA methods for analysis of fMRI data. Hum Brain Mapp. 2011 Dec;32(12):2075-95. doi: 10.1002/hbm.21170. Epub 2010 Dec 15. — View Citation

Filbey FM, Claus E, Audette AR, Niculescu M, Banich MT, Tanabe J, Du YP, Hutchison KE. Exposure to the taste of alcohol elicits activation of the mesocorticolimbic neurocircuitry. Neuropsychopharmacology. 2008 May;33(6):1391-401. doi: 10.1038/sj.npp.1301513. Epub 2007 Jul 25. — View Citation

Filbey FM, Ray L, Smolen A, Claus ED, Audette A, Hutchison KE. Differential neural response to alcohol priming and alcohol taste cues is associated with DRD4 VNTR and OPRM1 genotypes. Alcohol Clin Exp Res. 2008 Jul;32(7):1113-23. doi: 10.1111/j.1530-0277.2008.00692.x. — View Citation

Finney, J. W., Moos, R. H., & Timko, C. (2013). The course of treated and untreated substance use disorders: Remission and resolution, relapse and mortality. In: B. S. McCrady & E. e. Epstein (Eds.), Addiction: A comprehensive guidebook, 2nd edition (pp. 108-134). NY: Oxford University Press.

First, M. B., William, J. B. W., Karg, R. S., Spitzer, R. L. (2015). User's Guide for the Structured Clinical Interview for DSM-5 Disorders, Research Version (SCID-5-RV). Arlington, VA: American Psychiatric Association.

Flannery BA, Volpicelli JR, Pettinati HM. Psychometric properties of the Penn Alcohol Craving Scale. Alcohol Clin Exp Res. 1999 Aug;23(8):1289-95. — View Citation

Friston, K. J., Ashburner, J., Frith, C. D., Poline, J. B., & Frackowiak, R. S. J. (1995). Spatial registration and normalization of images. Human Brain Mapping, 3, 165-189.

Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. P., Frith, C. D., & Frackowiak, R. S.J. (1995). Statistical parametric maps in functional imaging: a general linear approach. Human Brain Mapping, 2, 189-210.

Fritz MS, Mackinnon DP. Required sample size to detect the mediated effect. Psychol Sci. 2007 Mar;18(3):233-9. doi: 10.1111/j.1467-9280.2007.01882.x. — View Citation

Garland EL, Gaylord SA, Boettiger CA, Howard MO. Mindfulness training modifies cognitive, affective, and physiological mechanisms implicated in alcohol dependence: results of a randomized controlled pilot trial. J Psychoactive Drugs. 2010 Jun;42(2):177-92. doi: 10.1080/02791072.2010.10400690. — View Citation

Gazdzinski S, Durazzo TC, Studholme C, Song E, Banys P, Meyerhoff DJ. Quantitative brain MRI in alcohol dependence: preliminary evidence for effects of concurrent chronic cigarette smoking on regional brain volumes. Alcohol Clin Exp Res. 2005 Aug;29(8):1484-95. doi: 10.1097/01.alc.0000175018.72488.61. — View Citation

Grant BF, Goldstein RB, Saha TD, Chou SP, Jung J, Zhang H, Pickering RP, Ruan WJ, Smith SM, Huang B, Hasin DS. Epidemiology of DSM-5 Alcohol Use Disorder: Results From the National Epidemiologic Survey on Alcohol and Related Conditions III. JAMA Psychiatry. 2015 Aug;72(8):757-66. doi: 10.1001/jamapsychiatry.2015.0584. — View Citation

Grant I, Adams K, Reed R. Normal neuropsychological abilities of alcoholic men in their late thirties. Am J Psychiatry. 1979 Oct;136(10):1263-9. doi: 10.1176/ajp.136.10.1263. — View Citation

Heinz A, Wrase J, Kahnt T, Beck A, Bromand Z, Grusser SM, Kienast T, Smolka MN, Flor H, Mann K. Brain activation elicited by affectively positive stimuli is associated with a lower risk of relapse in detoxified alcoholic subjects. Alcohol Clin Exp Res. 2007 Jul;31(7):1138-47. doi: 10.1111/j.1530-0277.2007.00406.x. Epub 2007 May 4. — View Citation

Herault, J., & Jutten, C. (1986). Space or time adaptive signal processing by neural network models. American Institute for Physics Conference Proceedings, 151, 206

Jafri MJ, Pearlson GD, Stevens M, Calhoun VD. A method for functional network connectivity among spatially independent resting-state components in schizophrenia. Neuroimage. 2008 Feb 15;39(4):1666-81. doi: 10.1016/j.neuroimage.2007.11.001. Epub 2007 Nov 13. — View Citation

Jang DP, Namkoong K, Kim JJ, Park S, Kim IY, Kim SI, Kim YB, Cho ZH, Lee E. The relationship between brain morphometry and neuropsychological performance in alcohol dependence. Neurosci Lett. 2007 Nov 20;428(1):21-6. doi: 10.1016/j.neulet.2007.09.047. Epub 2007 Sep 29. — View Citation

Jutten, C., & Herault, J. (1991). Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Processing, 24, 1-10.

Kareken DA, Claus ED, Sabri M, Dzemidzic M, Kosobud AE, Radnovich AJ, Hector D, Ramchandani VA, O'Connor SJ, Lowe M, Li TK. Alcohol-related olfactory cues activate the nucleus accumbens and ventral tegmental area in high-risk drinkers: preliminary findings. Alcohol Clin Exp Res. 2004 Apr;28(4):550-7. doi: 10.1097/01.alc.0000122764.60626.af. — View Citation

Kazdin AE, Nock MK. Delineating mechanisms of change in child and adolescent therapy: methodological issues and research recommendations. J Child Psychol Psychiatry. 2003 Nov;44(8):1116-29. doi: 10.1111/1469-7610.00195. — View Citation

Kiluk BD, Nich C, Babuscio T, Carroll KM. Quality versus quantity: acquisition of coping skills following computerized cognitive-behavioral therapy for substance use disorders. Addiction. 2010 Dec;105(12):2120-7. doi: 10.1111/j.1360-0443.2010.03076.x. Epub 2010 Sep 20. — View Citation

Kirby KN, Petry NM, Bickel WK. Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. J Exp Psychol Gen. 1999 Mar;128(1):78-87. doi: 10.1037//0096-3445.128.1.78. — View Citation

Kober H, Mende-Siedlecki P, Kross EF, Weber J, Mischel W, Hart CL, Ochsner KN. Prefrontal-striatal pathway underlies cognitive regulation of craving. Proc Natl Acad Sci U S A. 2010 Aug 17;107(33):14811-6. doi: 10.1073/pnas.1007779107. Epub 2010 Aug 2. — View Citation

Koob G, Kreek MJ. Stress, dysregulation of drug reward pathways, and the transition to drug dependence. Am J Psychiatry. 2007 Aug;164(8):1149-59. doi: 10.1176/appi.ajp.2007.05030503. — View Citation

Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology. 2010 Jan;35(1):217-38. doi: 10.1038/npp.2009.110. Erratum In: Neuropsychopharmacology. 2010 Mar;35(4):1051. — View Citation

Koob, G. F. (2013). Neuroscience of addiction. In: B. S. McCrady & E. E. Epstein (Eds.), Addiction: A comprehensive guidebook, 2nd edition (pp. 17-354). NY: Oxford University Press.

Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1997). International affective picture system (IAPS): Technical manual and affective ratings. NIMH Center for the Study of Emotion and Attention, 39-58.

Li CS, Luo X, Yan P, Bergquist K, Sinha R. Altered impulse control in alcohol dependence: neural measures of stop signal performance. Alcohol Clin Exp Res. 2009 Apr;33(4):740-50. doi: 10.1111/j.1530-0277.2008.00891.x. Epub 2009 Jan 21. — View Citation

Loree AM, Lundahl LH, Ledgerwood DM. Impulsivity as a predictor of treatment outcome in substance use disorders: review and synthesis. Drug Alcohol Rev. 2015 Mar;34(2):119-34. doi: 10.1111/dar.12132. Epub 2014 Mar 31. — View Citation

MacKillop J, Miranda R Jr, Monti PM, Ray LA, Murphy JG, Rohsenow DJ, McGeary JE, Swift RM, Tidey JW, Gwaltney CJ. Alcohol demand, delayed reward discounting, and craving in relation to drinking and alcohol use disorders. J Abnorm Psychol. 2010 Feb;119(1):106-14. doi: 10.1037/a0017513. — View Citation

MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V. A comparison of methods to test mediation and other intervening variable effects. Psychol Methods. 2002 Mar;7(1):83-104. doi: 10.1037/1082-989x.7.1.83. — View Citation

Magill M, Kiluk BD, McCrady BS, Tonigan JS, Longabaugh R. Active Ingredients of Treatment and Client Mechanisms of Change in Behavioral Treatments for Alcohol Use Disorders: Progress 10 Years Later. Alcohol Clin Exp Res. 2015 Oct;39(10):1852-62. doi: 10.1111/acer.12848. Epub 2015 Sep 7. — View Citation

Magill M, Longabaugh R. Efficacy combined with specified ingredients: a new direction for empirically supported addiction treatment. Addiction. 2013 May;108(5):874-81. doi: 10.1111/add.12013. Epub 2012 Nov 19. — View Citation

Maisto SA, Kirouac M, Witkiewitz K. Alcohol use disorder clinical course research: informing clinicians' treatment planning now and in the future. J Stud Alcohol Drugs. 2014 Sep;75(5):799-807. doi: 10.15288/jsad.2014.75.799. — View Citation

Maisto SA, Roos CR, O'Sickey AJ, Kirouac M, Connors GJ, Tonigan JS, Witkiewitz K. The indirect effect of the therapeutic alliance and alcohol abstinence self-efficacy on alcohol use and alcohol-related problems in Project MATCH. Alcohol Clin Exp Res. 2015 Mar;39(3):504-13. doi: 10.1111/acer.12649. Epub 2015 Feb 19. — View Citation

McCrady, B. S. (2071). Mechanisms of change and the treatment of alcohol use disorders. In: D. McKay, J. Abramowitz, & E. Storch (Eds.), Mechanisms of syndromes and treatment for psychological problems. NY: Wiley Press.

McKeown MJ, Makeig S, Brown GG, Jung TP, Kindermann SS, Bell AJ, Sejnowski TJ. Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp. 1998;6(3):160-88. doi: 10.1002/(SICI)1097-0193(1998)6:3&#x0003c;160::AID-HBM5&#x0003e;3.0.CO;2-1. — View Citation

Miller, W. R. & Rollnick, S. (2013). Motivational interviewing: Helping people change, 3rd edition. NY: Guilford Press.

Miller, W. R. (1996). Form 90: A structured assessment interview for drinking and related behaviors, test manual. Project MATCH Monograph Series, Vol 5. Bethesda, MD: National Institute of Alcohol Abuse and Alcoholism.

Miller, W. R., Mattson, M. E., Arciniega, L. T., Arroyo, J...Zweben, A. (2004). COMBINE behavioral intervention manual. A clinical research guide for therapists treatment people with alcohol abuse and dependence. DHHS Publication No. (NIH) 04-5288. Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism.

Miller, W.R., Tonigan, J.S. & Longabaugh, R. (1995). The Drinker Inventory of Consequences (DrInC): An instrument for assessing adverse consequences of alcohol abuse. Project MATCH Monograph Series, Vol. 4. DHHS Publication No. 95-3911. Rockville MD: NIAAA.

Monnig MA, Tonigan JS, Yeo RA, Thoma RJ, McCrady BS. White matter volume in alcohol use disorders: a meta-analysis. Addict Biol. 2013 May;18(3):581-92. doi: 10.1111/j.1369-1600.2012.00441.x. Epub 2012 Mar 28. — View Citation

Myrick H, Anton RF, Li X, Henderson S, Randall PK, Voronin K. Effect of naltrexone and ondansetron on alcohol cue-induced activation of the ventral striatum in alcohol-dependent people. Arch Gen Psychiatry. 2008 Apr;65(4):466-75. doi: 10.1001/archpsyc.65.4.466. — View Citation

Naqvi NH, Morgenstern J. Cognitive Neuroscience Approaches to Understanding Behavior Change in Alcohol Use Disorder Treatments. Alcohol Res. 2015;37(1):29-38. — View Citation

Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971 Mar;9(1):97-113. doi: 10.1016/0028-3932(71)90067-4. No abstract available. — View Citation

Papachristou H, Nederkoorn C, Giesen JC, Jansen A. Cue reactivity during treatment, and not impulsivity, predicts an initial lapse after treatment in alcohol use disorders. Addict Behav. 2014 Mar;39(3):737-9. doi: 10.1016/j.addbeh.2013.11.027. Epub 2013 Dec 11. — View Citation

Rassen JA, Shelat AA, Franklin JM, Glynn RJ, Solomon DH, Schneeweiss S. Matching by propensity score in cohort studies with three treatment groups. Epidemiology. 2013 May;24(3):401-9. doi: 10.1097/EDE.0b013e318289dedf. — View Citation

Roos CR, Witkiewitz K. Adding tools to the toolbox: The role of coping repertoire in alcohol treatment. J Consult Clin Psychol. 2016 Jul;84(7):599-611. doi: 10.1037/ccp0000102. Epub 2016 Apr 7. — View Citation

Rosenbloom M, Sullivan EV, Pfefferbaum A. Using magnetic resonance imaging and diffusion tensor imaging to assess brain damage in alcoholics. Alcohol Res Health. 2003;27(2):146-52. — View Citation

Rupp CI, Beck JK, Heinz A, Kemmler G, Manz S, Tempel K, Fleischhacker WW. Impulsivity and Alcohol Dependence Treatment Completion: Is There a Neurocognitive Risk Factor at Treatment Entry? Alcohol Clin Exp Res. 2016 Jan;40(1):152-60. doi: 10.1111/acer.12924. Epub 2015 Dec 19. — View Citation

Sacks JJ, Gonzales KR, Bouchery EE, Tomedi LE, Brewer RD. 2010 National and State Costs of Excessive Alcohol Consumption. Am J Prev Med. 2015 Nov;49(5):e73-e79. doi: 10.1016/j.amepre.2015.05.031. Epub 2015 Oct 1. — View Citation

Salsman JM, Butt Z, Pilkonis PA, Cyranowski JM, Zill N, Hendrie HC, Kupst MJ, Kelly MA, Bode RK, Choi SW, Lai JS, Griffith JW, Stoney CM, Brouwers P, Knox SS, Cella D. Emotion assessment using the NIH Toolbox. Neurology. 2013 Mar 12;80(11 Suppl 3):S76-86. doi: 10.1212/WNL.0b013e3182872e11. — View Citation

Schacht JP, Anton RF, Myrick H. Functional neuroimaging studies of alcohol cue reactivity: a quantitative meta-analysis and systematic review. Addict Biol. 2013 Jan;18(1):121-33. doi: 10.1111/j.1369-1600.2012.00464.x. Epub 2012 May 10. — View Citation

Schacht JP, Randall PK, Waid LR, Baros AM, Latham PK, Wright TM, Myrick H, Anton RF. Neurocognitive performance, alcohol withdrawal, and effects of a combination of flumazenil and gabapentin in alcohol dependence. Alcohol Clin Exp Res. 2011 Nov;35(11):2030-8. doi: 10.1111/j.1530-0277.2011.01554.x. Epub 2011 Jun 1. — View Citation

Sebastian A, Baldermann C, Feige B, Katzev M, Scheller E, Hellwig B, Lieb K, Weiller C, Tuscher O, Kloppel S. Differential effects of age on subcomponents of response inhibition. Neurobiol Aging. 2013 Sep;34(9):2183-93. doi: 10.1016/j.neurobiolaging.2013.03.013. Epub 2013 Apr 13. — View Citation

Seo S, Mohr J, Beck A, Wustenberg T, Heinz A, Obermayer K. Predicting the future relapse of alcohol-dependent patients from structural and functional brain images. Addict Biol. 2015 Nov;20(6):1042-55. doi: 10.1111/adb.12302. Epub 2015 Oct 4. — View Citation

Silveri MM. Adolescent brain development and underage drinking in the United States: identifying risks of alcohol use in college populations. Harv Rev Psychiatry. 2012 Jul-Aug;20(4):189-200. doi: 10.3109/10673229.2012.714642. — View Citation

Skinner HA. The drug abuse screening test. Addict Behav. 1982;7(4):363-71. doi: 10.1016/0306-4603(82)90005-3. — View Citation

Spreng RN, Wojtowicz M, Grady CL. Reliable differences in brain activity between young and old adults: a quantitative meta-analysis across multiple cognitive domains. Neurosci Biobehav Rev. 2010 Jul;34(8):1178-94. doi: 10.1016/j.neubiorev.2010.01.009. Epub 2010 Jan 28. — View Citation

Sullivan JT, Sykora K, Schneiderman J, Naranjo CA, Sellers EM. Assessment of alcohol withdrawal: the revised clinical institute withdrawal assessment for alcohol scale (CIWA-Ar). Br J Addict. 1989 Nov;84(11):1353-7. doi: 10.1111/j.1360-0443.1989.tb00737.x. — View Citation

Tang YY, Holzel BK, Posner MI. The neuroscience of mindfulness meditation. Nat Rev Neurosci. 2015 Apr;16(4):213-25. doi: 10.1038/nrn3916. Epub 2015 Mar 18. — View Citation

Thayer RE, Hagerty SL, Sabbineni A, Claus ED, Hutchison KE, Weiland BJ. Negative and interactive effects of sex, aging, and alcohol abuse on gray matter morphometry. Hum Brain Mapp. 2016 Jun;37(6):2276-92. doi: 10.1002/hbm.23172. Epub 2016 Mar 7. — View Citation

Tofighi D, Kelley K. Assessing Omitted Confounder Bias in Multilevel Mediation Models. Multivariate Behav Res. 2016;51(1):86-105. doi: 10.1080/00273171.2015.1105736. — View Citation

Tofighi D, MacKinnon DP. RMediation: an R package for mediation analysis confidence intervals. Behav Res Methods. 2011 Sep;43(3):692-700. doi: 10.3758/s13428-011-0076-x. — View Citation

Vollstadt-Klein S, Loeber S, Kirsch M, Bach P, Richter A, Buhler M, von der Goltz C, Hermann D, Mann K, Kiefer F. Effects of cue-exposure treatment on neural cue reactivity in alcohol dependence: a randomized trial. Biol Psychiatry. 2011 Jun 1;69(11):1060-6. doi: 10.1016/j.biopsych.2010.12.016. Epub 2011 Feb 3. — View Citation

Vollstadt-Klein S, Wichert S, Rabinstein J, Buhler M, Klein O, Ende G, Hermann D, Mann K. Initial, habitual and compulsive alcohol use is characterized by a shift of cue processing from ventral to dorsal striatum. Addiction. 2010 Oct;105(10):1741-9. doi: 10.1111/j.1360-0443.2010.03022.x. — View Citation

Wechsler, D. (1999). Abbreviated Scale of Intelligence (WASI). San Antonio, Tx.: Harcourt.

Weintraub S, Dikmen SS, Heaton RK, Tulsky DS, Zelazo PD, Bauer PJ, Carlozzi NE, Slotkin J, Blitz D, Wallner-Allen K, Fox NA, Beaumont JL, Mungas D, Nowinski CJ, Richler J, Deocampo JA, Anderson JE, Manly JJ, Borosh B, Havlik R, Conway K, Edwards E, Freund L, King JW, Moy C, Witt E, Gershon RC. Cognition assessment using the NIH Toolbox. Neurology. 2013 Mar 12;80(11 Suppl 3):S54-64. doi: 10.1212/WNL.0b013e3182872ded. — View Citation

Westbrook C, Creswell JD, Tabibnia G, Julson E, Kober H, Tindle HA. Mindful attention reduces neural and self-reported cue-induced craving in smokers. Soc Cogn Affect Neurosci. 2013 Jan;8(1):73-84. doi: 10.1093/scan/nsr076. Epub 2011 Nov 22. — View Citation

Whiteside, S. P., Lynam, D. R., Miller, J. D., & Reynolds, S. K. (2005). Validation of the UPPS impulsive behaviour scale: a four-factor model of impulsivity. European Journal of Personality, 19(7), 559-574.

Witkiewitz K, Bowen S, Douglas H, Hsu SH. Mindfulness-based relapse prevention for substance craving. Addict Behav. 2013 Feb;38(2):1563-1571. doi: 10.1016/j.addbeh.2012.04.001. Epub 2012 Apr 6. Erratum In: Addict Behav. 2018 Mar 21;: — View Citation

Witkiewitz K, Bowen S. Depression, craving, and substance use following a randomized trial of mindfulness-based relapse prevention. J Consult Clin Psychol. 2010 Jun;78(3):362-374. doi: 10.1037/a0019172. — View Citation

Witkiewitz K, Dearing RL, Maisto SA. Alcohol use trajectories among non-treatment-seeking heavy drinkers. J Stud Alcohol Drugs. 2014 May;75(3):415-22. doi: 10.15288/jsad.2014.75.415. — View Citation

Witkiewitz K, Donovan DM, Hartzler B. Drink refusal training as part of a combined behavioral intervention: effectiveness and mechanisms of change. J Consult Clin Psychol. 2012 Jun;80(3):440-9. doi: 10.1037/a0026996. Epub 2012 Jan 30. — View Citation

Witkiewitz K, Maisto SA, Donovan DM. A comparison of methods for estimating change in drinking following alcohol treatment. Alcohol Clin Exp Res. 2010 Dec;34(12):2116-25. doi: 10.1111/j.1530-0277.2010.01308.x. Epub 2010 Sep 22. — View Citation

Witkiewitz K, Marlatt GA. Relapse prevention for alcohol and drug problems: that was Zen, this is Tao. Am Psychol. 2004 May-Jun;59(4):224-35. doi: 10.1037/0003-066X.59.4.224. — View Citation

Witkiewitz K, Villarroel NA. Dynamic association between negative affect and alcohol lapses following alcohol treatment. J Consult Clin Psychol. 2009 Aug;77(4):633-44. doi: 10.1037/a0015647. — View Citation

Witkiewitz K. Predictors of heavy drinking during and following treatment. Psychol Addict Behav. 2011 Sep;25(3):426-38. doi: 10.1037/a0022889. — View Citation

Worhunsky PD, Stevens MC, Carroll KM, Rounsaville BJ, Calhoun VD, Pearlson GD, Potenza MN. Functional brain networks associated with cognitive control, cocaine dependence, and treatment outcome. Psychol Addict Behav. 2013 Jun;27(2):477-88. doi: 10.1037/a0029092. Epub 2012 Jul 9. — View Citation

* Note: There are 106 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary MOBC: Craving - self report Penn Alcohol Craving Scale will be used to examine changes in craving that occur during and after treatment. Up to 15 months
Primary MOBC: Craving - neuroimaging The difference in percent signal change during alcohol vs. neutral picture cues in ventral striatum will be assessed using a cue task while participants are scanned using functional magnetic resonance imaging Up to 9 months
Primary MOBC: Cognitive and Behavioral Control - self report impulsivity The UPPS-P Impulsivity Questionnaire will be used to examine changes in impulsivity that occur during and after treatment. Up to 15 months
Primary MOBC: Cognitive and Behavioral Control - behavior The Monetary Choice Questionnaire will be used to determine the degree to which impulsive choice changes during and after treatment. A discounting rate (k) will be computed for each administration. Up to 15 months
Primary MOBC: Cognitive and Behavioral Control - neuroimaging inhibition The difference in percent signal change during successful inhibition of responses vs. successful non-inhibition trials in right inferior frontal cortex will be assessed using a stop signal task while participants are scanned using functional magnetic resonance imaging. Up to 9 months
Primary MOBC: Cognitive and Behavioral Control - neuroimaging errors The difference in percent signal change during unsuccessful inhibition of responses vs. successful non-inhibition trials in dorsal anterior cingulate cortex will be assessed using a stop signal task while participants are scanned using functional magnetic resonance imaging. Up to 9 months
Primary MOBC: Regulation of Affect/Arousal - neuroimaging The difference in percent signal change during negative vs. neutral picture cues in amygdala will be assessed using a cue task while participants are scanned using functional magnetic resonance imaging. Up to 9 months
Primary MOBC: Regulation of Affect/Arousal - negative affect self-report The Negative Affect Summary score from the NIH toolbox will be used to assess overall negative affect changes during and after treatment. Up to 15 months
Secondary Percent drinking days The Form 90 will be used to derive estimates of the outcome percent drinking days. Baseline, 4-week within treatment visit, 8-week within treatment visit, and 3-month follow-up, 9-month follow-up, and 15-month follow-up
Secondary Drinks per drinking day The Form 90 will be used to derive estimates of the outcome: drinks (standard drink=14 grams of pure alcohol) per drinking day. Baseline, 4-week within treatment visit, 8-week within treatment visit, and 3-month follow-up, 9-month follow-up, and 15-month follow-up
Secondary Percent heavy drinking days The Form 90 will be used to derive estimates of the outcome: percent heavy drinking days, where heavy drinking is defined as 4+ drinks per occasion for women and 5+ drinks per occasion for men. Baseline, 4-week within treatment visit, 8-week within treatment visit, and 3-month follow-up, 9-month follow-up, and 15-month follow-up
See also
  Status Clinical Trial Phase
Recruiting NCT04788004 - Long-term Recovery: Longitudinal Study of Neuro-behavioral Markers of Recovery and Precipitants of Relapse
Recruiting NCT05684094 - Mechanisms of Risky Alcohol Use in Young Adults: Linking Sleep to Reward- and Stress-Related Brain Function N/A
Completed NCT03406039 - Testing the Efficacy of an Online Integrated Treatment for Comorbid Alcohol Misuse and Emotional Problems N/A
Completed NCT03573167 - Mobile Phone-Based Motivational Interviewing in Kenya N/A
Completed NCT04817410 - ED Initiated Oral Naltrexone for AUD Phase 1
Active, not recruiting NCT04267692 - Harm Reduction Talking Circles for American Indians and Alaska Natives With Alcohol Use Disorders N/A
Completed NCT03872128 - The Role of Neuroactive Steroids in Stress, Alcohol Craving and Alcohol Use in Alcohol Use Disorders Phase 1
Recruiting NCT06030154 - Amplification of Positivity for Alcohol Use N/A
Active, not recruiting NCT05419128 - Family-focused vs. Drinker-focused Smartphone Interventions to Reduce Drinking-related Consequences of COVID-19 N/A
Completed NCT04564807 - Testing an Online Insomnia Intervention N/A
Completed NCT04284813 - Families With Substance Use and Psychosis: A Pilot Study N/A
Completed NCT04203966 - Mental Health and Well-being of People Who Seek Help From Their Member of Parliament
Recruiting NCT05861843 - Craving Assessment in Patients With Alcohol Use Disorder Using Virtual Reality Exposure
Terminated NCT04404712 - FAAH Availability in Psychiatric Disorders: A PET Study Early Phase 1
Enrolling by invitation NCT04128761 - Decreasing the Temporal Window in Individuals With Alcohol Use Disorder N/A
Not yet recruiting NCT06163651 - Evaluating a One-Year Version of the Parent-Child Assistance Program N/A
Not yet recruiting NCT06337721 - Preventing Alcohol Use Disorders and Alcohol-Related Harms in Pacific Islander Young Adults N/A
Enrolling by invitation NCT02544581 - Preliminary Analysis of the Soberlink Alcohol Breath Analyzer System's (SABA) Clinical Utility During Aftercare N/A
Completed NCT02511886 - A Dose-Escalation Study to Determine the Maximum Tolerated Dose of Arbaclofen Placarbil in Subjects With Alcohol Use Disorder Phase 2
Active, not recruiting NCT02185131 - Double-blind Pilot Trial of Mirtazapine for the Treatment of Co-occurring AD/MDD. Phase 2