- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05047627
Digital Intervention to Treat Anxiety and Depression Among Persons Receiving Treatment for Opioid Use Disorder
Study Overview
Status
Intervention / Treatment
Detailed Description
The study team will recruit a population of 60 adults who are receiving medication treatment for OUD from an online study based on Google Adwords, Reddit, and Facebook advertisements as online recruitment has been shown to be a viable and cost-effective recruitment method for opioid users. The total sample size may be expanded if recruitment costs are lower than expected.
Participants will complete self-report assessments on their anxiety symptoms, depressive symptoms, opioid cravings, and opioid use behaviors. Participants will be randomized to a smartphone-based digital intervention or waitlist control condition. The digital intervention will be designed to treat participants' anxiety and depressive symptoms, and participants will be asked to use the intervention four times per week for four weeks (16 digital sessions).The smartphone intervention will also collect passive sensing data continuously during the 4 week period. Participants will complete post measures and one-month follow-up measures on anxiety symptoms, depressive symptoms, opioid cravings, and opioid use behaviors. The urine drug screen will be mailed to participants. Participants will also be asked to complete five urine tests to detect substance use (amphetamines, barbiturates, benzodiazepines, cocaine, ecstasy, marijuana, methamphetamine, opioids, oxycodone, and pcp) across the study (1 at pre-digital intervention, 1 during the digital intervention, 1 post-digital intervention, 1 between post and follow-up of the digital intervention, and 1 at the 1-month follow-up of the digital intervention). Participants will be instructed when to complete each urine test and will be asked to take a photo of the back the label of each test showing the results to the experimenters and to text these photos to a Google Voice Number maintained by the experimenters.
Thus, this proposal seeks to address a crucial deficit in the availability of treatments for anxiety and depressive disorders among persons with OUD to ultimately augment treatment for OUD.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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New Hampshire
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Lebanon, New Hampshire, United States, 03766
- Center For Technology and Behavioral Health
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Adults (age 18 or older)
- fluent in English
- able to provide informed consent
- meet current criteria for OUD (as defined by a Rapid Opioid Dependence Screen)
- are receiving methadone, buprenorphine, and/or naltrexone for OUD
- meet current criteria for an anxiety and/or depressive disorder (based on the Patient Health Questionnaire and the Generalized Anxiety Disorder Questionnaire).
Exclusion Criteria:
- active suicidality
- psychosis
- bipolar disorder
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Smartphone Digital Intervention Group
The Smartphone Digital Intervention Group is the experimental group.
Participants randomized to this group will download the smartphone intervention and be asked to use the intervention four times per week for four weeks ( 16 digital sessions).
The smartphone digital intervention will also continuously collect passive sensing data.
The smartphone digital intervention will be designed to treat anxiety and depression by providing informational videos to help participants treat these symptoms.
These videos include information about physical activity, muscle relaxation, and other proven helpful interventions to help with anxiety and depression.
|
The digital intervention will be a prototype, and the current trial will be used to continue to both develop and refine the intervention.
The current intervention will be based on a combination of cognitive-behavioral principles.
As with prior research, the mobile platform will be delivered via Qualtrics, a HIPAA compliant and mobile-friendly platform.
The cognitive-behavioral therapy will be primarily based on components with strongest support in digital interventions.
The app will continuously collect passive sensing data on patterns in 1) sleep duration and quality;(2) light (3) location; (4) movement (5) social contact including duration and frequency of incoming and outcoming calls and text messages; (6) screen time; and (7) heart rate variability; (8) sound levels captured through passively collected smartphone The platform will deliver interactive interventions where participants will view texts and images, and it will also allow user interaction.
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No Intervention: Wait list Control Condition
The wait list control condition will not receive the digital intervention treatment for the duration of the study.
They will still provide urine samples during the study.
Participants assigned to this condition will be able to access the digital intervention after their participation in the study.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Anxiety Symptoms as Assessed by Generalized Anxiety Disorder- Q-IV Scale
Time Frame: From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
Assesses anxiety symptoms.
Possible GAD-Q-IV scores range from 0 to 12, with higher scores representing greater GAD symptom severity
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From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
|
Change in Depressive Symptoms as Assessed by Patient Health Questionnaire-9
Time Frame: From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
Assesses depressive symptoms, the PHQ-9 score can range from 0 to 27, since each of the 9 items can be scored from 0 (not at all) to 3 (nearly every day)
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From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
|
Change in Likelihood of a Positive Urine Screen for Opioids (MOP)
Time Frame: From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
This outcome measures the change in the likelihood of a positive urine drug screen (UDS) for opioids (MOP).
The result of each UDS was coded as a binary variable (0 = negative test, 1 = positive test).
The reported data are the beta coefficients (estimated mean change) from a robust linear mixed-effects model, which are presented on a unitless scale.
A negative value indicates a reduction in the likelihood of testing positive and represents a better outcome.
|
From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Opioid Use Disorder Severity as Measured by the Rapid Opioid Dependence Screen (RODS)
Time Frame: From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
The Rapid Opioid Dependence Screen (RODS) is an 8-item measure used to assess opioid dependence severity.
For this study, a total score was calculated by summing two components: 1) The number of endorsed opioid types from Item 1 (which lists 8 types, range 0-8), and 2) The number of "yes" responses to the 7 dependence-related questions in Items 2-8 (range 0-7).
This method results in a total possible score range of 0 to 15.
Higher scores indicate a greater breadth of lifetime opioid use and a higher number of dependence symptoms.
A reduction in score represents improvement.
|
From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
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Change in Opioid Craving as Measured by the Opioid Craving Scale (OCS)
Time Frame: From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
Opioid Craving Scale (OCS) is a 3-item self-report measure used to assess opioid craving.
Each of the three items is rated on a scale from 0 to 9. The total score is calculated by taking the average of the three item scores, resulting in a final score range of 0 to 9. Higher scores indicate a greater severity of craving.
A reduction in score represents improvement.
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From Baseline to 4 weeks (post-intervention) and from Baseline to 8 weeks (follow-up).
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Nicholas C Jacobson, PhD, Dartmouth College
Publications and helpful links
General Publications
- Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x.
- Barry DT, Beitel M, Breuer T, Cutter CJ, Savant J, Peters S, Schottenfeld RS, Rounsaville BJ. Group-based strategies for stress reduction in methadone maintenance treatment: what do patients want? J Addict Med. 2011 Sep;5(3):181-7. doi: 10.1097/ADM.0b013e3181ee77cl.
- Blume, A. W., Schmaling, K. B., & Marlatt, G. A. (2000). Revisiting the self-medication hypothesis from a behavioral perspective. Cognitive and Behavioral Practice, 7(4), 379-384. https://doi.org/10.1016/S1077-7229(00)80048-6
- Borkovec TD, Newman MG, Pincus AL, Lytle R. A component analysis of cognitive-behavioral therapy for generalized anxiety disorder and the role of interpersonal problems. J Consult Clin Psychol. 2002 Apr;70(2):288-98.
- Cunningham JA, Hendershot CS, Kay-Lambkin F, Neighbors C, Griffiths KM, Bennett K, Bennett A, Godinho A, Schell C. Does providing a brief internet intervention for hazardous alcohol use to people seeking online help for depression reduce both alcohol use and depression symptoms among participants with these co-occurring disorders? Study protocol for a randomised controlled trial. BMJ Open. 2018 Jul 19;8(7):e022412. doi: 10.1136/bmjopen-2018-022412.
- Deady M, Mills KL, Teesson M, Kay-Lambkin F. An Online Intervention for Co-Occurring Depression and Problematic Alcohol Use in Young People: Primary Outcomes From a Randomized Controlled Trial. J Med Internet Res. 2016 Mar 23;18(3):e71. doi: 10.2196/jmir.5178.
- Firth J, Torous J, Nicholas J, Carney R, Pratap A, Rosenbaum S, Sarris J. The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials. World Psychiatry. 2017 Oct;16(3):287-298. doi: 10.1002/wps.20472.
- Hogarth L, Hardy L, Bakou A, Mahlberg J, Weidemann G, Cashel S, Moustafa AA. Negative Mood Induction Increases Choice of Heroin Versus Food Pictures in Opiate-Dependent Individuals: Correlation With Self-Medication Coping Motives and Subjective Reactivity. Front Psychiatry. 2019 May 15;10:274. doi: 10.3389/fpsyt.2019.00274. eCollection 2019.
- Kay-Lambkin FJ, Baker AL, Lewin TJ, Carr VJ. Computer-based psychological treatment for comorbid depression and problematic alcohol and/or cannabis use: a randomized controlled trial of clinical efficacy. Addiction. 2009 Mar;104(3):378-88. doi: 10.1111/j.1360-0443.2008.02444.x.
- Kroenke, Kurt, & Spitzer, R. L. (2002). The PHQ-9: A new depression diagnostic and severity measure. Psychiatric Annals, 32(9), 509-515. https://doi.org/10.3928/0048-5713-20020901-06
- Krupnick JL, Green BL, Amdur R, Alaoui A, Belouali A, Roberge E, Cueva D, Roberts M, Melnikoff E, Dutton MA. An Internet-based writing intervention for PTSD in veterans: A feasibility and pilot effectiveness trial. Psychol Trauma. 2017 Jul;9(4):461-470. doi: 10.1037/tra0000176. Epub 2016 Sep 8.
- Levin ME, Navarro C, Cruz RA, Haeger J. Comparing in-the-moment skill coaching effects from tailored versus non-tailored acceptance and commitment therapy mobile apps in a non-clinical sample. Cogn Behav Ther. 2019 May;48(3):200-216. doi: 10.1080/16506073.2018.1503706. Epub 2018 Aug 17.
- Maloney E, Degenhardt L, Darke S, Nelson EC. Are non-fatal opioid overdoses misclassified suicide attempts? Comparing the associated correlates. Addict Behav. 2009 Sep;34(9):723-9. doi: 10.1016/j.addbeh.2009.04.011. Epub 2009 May 3.
- Marshall BDL, Green TC, Elston B, Yedinak JL, Hadland SE, Clark MA. The Effectiveness of Internet- and Field-Based Methods to Recruit Young Adults Who Use Prescription Opioids Nonmedically. Subst Use Misuse. 2018 Aug 24;53(10):1688-1699. doi: 10.1080/10826084.2018.1425725. Epub 2018 Jan 24.
- McHugh RK, Fitzmaurice GM, Carroll KM, Griffin ML, Hill KP, Wasan AD, Weiss RD. Assessing craving and its relationship to subsequent prescription opioid use among treatment-seeking prescription opioid dependent patients. Drug Alcohol Depend. 2014 Dec 1;145:121-6. doi: 10.1016/j.drugalcdep.2014.10.002. Epub 2014 Oct 16.
- Moore MT, Anderson NL, Barnes JM, Haigh EA, Fresco DM. Using the GAD-Q-IV to identify generalized anxiety disorder in psychiatric treatment seeking and primary care medical samples. J Anxiety Disord. 2014 Jan;28(1):25-30. doi: 10.1016/j.janxdis.2013.10.009. Epub 2013 Nov 20.
- Newman, M. G., Zuellig, A. R., Kachin, K. E., Constantino, M. J., Przeworski, A., Erickson, T., & Cashman-McGrath, L. (2002). Preliminary reliability and validity of the Generalized Anxiety Disorder Questionnaire-IV: A revised self-report diagnostic measure of generalized anxiety disorder. Behavior Therapy, 33(2), 215-233. https://doi.org/10.1016/S0005-7894(02)80026-0
- Stein MD, Santiago Rivera OJ, Anderson BJ, Bailey GL. Perceived need for depression treatment among persons entering inpatient opioid detoxification. Am J Addict. 2017 Jun;26(4):395-399. doi: 10.1111/ajad.12554. Epub 2017 Apr 28.
- Walker J, Burke K, Wanat M, Fisher R, Fielding J, Mulick A, Puntis S, Sharpe J, Esposti MD, Harriss E, Frost C, Sharpe M. The prevalence of depression in general hospital inpatients: a systematic review and meta-analysis of interview-based studies. Psychol Med. 2018 Oct;48(14):2285-2298. doi: 10.1017/S0033291718000624. Epub 2018 Mar 26.
- Wilhelm S, Weingarden H, Ladis I, Braddick V, Shin J, Jacobson NC. Cognitive-Behavioral Therapy in the Digital Age: Presidential Address. Behav Ther. 2020 Jan;51(1):1-14. doi: 10.1016/j.beth.2019.08.001. Epub 2019 Aug 8.
- Gratz, K.L., Roemer, L. Multidimensional Assessment of Emotion Regulation and Dysregulation: Development, Factor Structure, and Initial Validation of the Difficulties in Emotion Regulation Scale. J Psychopathol Behav Assess 30, 315 (2008). https://doi.org/10.1007/s10862-008-9102-4
- Firth J, Torous J, Nicholas J, Carney R, Rosenbaum S, Sarris J. Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials. J Affect Disord. 2017 Aug 15;218:15-22. doi: 10.1016/j.jad.2017.04.046. Epub 2017 Apr 25.
- Applebaum AJ, Bullis JR, Traeger LN, O'cleirigh C, Otto MW, Pollack MH, Safren SA. Rates of mood and anxiety disorders and contributors to continued heroin use in methadone maintenance patients: A comparison by HIV status. Neurobehav HIV Med. 2010 Aug 10;2010(2):49-57. doi: 10.2147/NBHIV.S12371.
- Bartoli F, Carra G, Brambilla G, Carretta D, Crocamo C, Neufeind J, Baldacchino A, Humphris G, Clerici M. Association between depression and non-fatal overdoses among drug users: a systematic review and meta-analysis. Drug Alcohol Depend. 2014 Jan 1;134:12-21. doi: 10.1016/j.drugalcdep.2013.10.007. Epub 2013 Oct 24.
- Childress AR, Ehrman R, McLellan AT, MacRae J, Natale M, O'Brien CP. Can induced moods trigger drug-related responses in opiate abuse patients? J Subst Abuse Treat. 1994 Jan-Feb;11(1):17-23. doi: 10.1016/0740-5472(94)90060-4.
- Hassan AN, Howe AS, Samokhvalov AV, Le Foll B, George TP. Management of mood and anxiety disorders in patients receiving opioid agonist therapy: Review and meta-analysis. Am J Addict. 2017 Sep;26(6):551-563. doi: 10.1111/ajad.12581. Epub 2017 Jul 4.
- Hyman SM, Fox H, Hong KI, Doebrick C, Sinha R. Stress and drug-cue-induced craving in opioid-dependent individuals in naltrexone treatment. Exp Clin Psychopharmacol. 2007 Apr;15(2):134-43. doi: 10.1037/1064-1297.15.2.134.
- Kenardy JA, Dow MG, Johnston DW, Newman MG, Thomson A, Taylor CB. A comparison of delivery methods of cognitive-behavioral therapy for panic disorder: an international multicenter trial. J Consult Clin Psychol. 2003 Dec;71(6):1068-75. doi: 10.1037/0022-006X.71.6.1068.
- Kosten TR, Rounsaville BJ, Kleber HD. A 2.5-year follow-up of depression, life crises, and treatment effects on abstinence among opioid addicts. Arch Gen Psychiatry. 1986 Aug;43(8):733-8. doi: 10.1001/archpsyc.1986.01800080019003.
- Lange A, Rietdijk D, Hudcovicova M, van de Ven JP, Schrieken B, Emmelkamp PM. Interapy: a controlled randomized trial of the standardized treatment of posttraumatic stress through the internet. J Consult Clin Psychol. 2003 Oct;71(5):901-9. doi: 10.1037/0022-006X.71.5.901.
- Pani PP, Vacca R, Trogu E, Amato L, Davoli M. Pharmacological treatment for depression during opioid agonist treatment for opioid dependence. Cochrane Database Syst Rev. 2010 Sep 8;(9):CD008373. doi: 10.1002/14651858.CD008373.pub2.
- Stathopoulou G, Pollack MH, Otto MW. Anxiety sensitivity moderates drug cravings in response to induced negative affect in opioid dependent outpatients. Addict Behav. 2018 Sep;84:75-78. doi: 10.1016/j.addbeh.2018.03.020. Epub 2018 Mar 13. No abstract available.
- Watkins KE, Hunter SB, Wenzel SL, Tu W, Paddock SM, Griffin A, Ebener P. Prevalence and characteristics of clients with co-occurring disorders in outpatient substance abuse treatment. Am J Drug Alcohol Abuse. 2004 Nov;30(4):749-64. doi: 10.1081/ada-200037538.
- Wickersham JA, Azar MM, Cannon CM, Altice FL, Springer SA. Validation of a Brief Measure of Opioid Dependence: The Rapid Opioid Dependence Screen (RODS). J Correct Health Care. 2015 Jan;21(1):12-26. doi: 10.1177/1078345814557513.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- AWD00010555
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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