Neurocognitive Mechanisms Underlying Smartphone-Assisted Prevention of Relapse in Opioid Use Disorder
概览
- 阶段
- 2 期
- 干预措施
- Smartphone
- 疾病 / 适应症
- Opioid-Related Disorders
- 发起方
- University of Arkansas
- 入组人数
- 255
- 试验地点
- 2
- 主要终点
- Urinalysis - Week 4
- 状态
- 招募中
- 最后更新
- 12天前
概览
简要总结
The proposed clinical trial would evaluate the use of smartphone applications ("apps", which have well-established efficacy in reducing cigarette and alcohol use) to prevent relapse among patients receiving medication-assisted treatment for opioid use disorder. In addition to standard app-based self-monitoring of drug use and personalized feedback, project innovation is enhanced by the proposed use of location-tracking technology for targeted, personalized intervention when participants enter self-identified areas of high risk for relapse. Furthermore, the proposed sub-study would use longitudinal functional neuroimaging to elucidate the brain-cognition relationships underlying individual differences in treatment outcomes, offering broad significance for understanding and enhancing the efficacy of this and other app-based interventions.
详细描述
The rising public health burden of opioid misuse, coupled with high relapse rates among individuals seeking treatment for opioid use disorder, necessitates novel interventions for improving opioid-related treatment response. Mobile technology such as smartphone-based applications ("apps") represent one such intervention. Although smartphone apps are effective in reducing cigarette and alcohol use, their efficacy for reducing opioid use has not yet been established. The proposed clinical trial would evaluate the app OptiMAT ("Optimizing Medication-Assisted Treatment") to prevent relapse among patients receiving medication-assisted treatment for opioid use disorder. OptiMAT implements two features shown to be effective for reducing substance use: daily self-monitoring of opiate use coupled with personalized feedback. Aim 1 would accrue 255 participants with 1:1 randomization into two arms (OptiMAT vs. Monitoring only) to evaluate differences in monthly opioid use at six months post-enrollment. Aim 2 would enroll a subset of participants (N=120; 60 per arm) into a longitudinal functional neuroimaging (fMRI) study to model the neurocognitive mechanisms underlying individual differences in treatment response. Two putative mechanisms (attentional bias for drug cues and cue-induced craving) promoting abstinence would be studied. Aim 3 would explore the use of location-based geographic ecological momentary assessment (GEMA) for targeted intervention when participants enter self-identified areas of high risk for relapse. Collectively, the proposed aims would (1) evaluate mobile technology applications for reducing opiate use, (2) understand the neurocognitive mechanisms of action to improve upon this and other apps aiming to reduce drug use, and (3) evaluate the role of personalized, contextually-relevant intervention to promote successful treatment outcomes.
研究者
入排标准
入选标准
- •Sex: male or female
- •Age: 18 years and older
- •(MRI sub-study): Age: 18-50 years old
- •In Phase I treatment of MAT for opioid-use disorder. (Phase I indicates that patient is receiving no more than one week of take-home medications at each weekly clinic visit.)
- •Must be willing to use a smartphone if randomized to the smartphone intervention arm
- •(MRI sub-study): Native English-speaking
排除标准
- •(MRI) Medical history: A history of neurological, cardiovascular, or infectious disease would exclude study participation. A loss of consciousness of 20 or more min or other evidence of brain trauma also would be exclusionary.
- •(MRI) Pregnancy: A positive test for pregnancy prior to fMRI would exclude participation, due to unknown effect of high-field MRI on developing fetus.
- •(MRI) MRI contraindications: Exclusion criteria for MRI include (1) the presence of non-removable internal (e.g., cardiac pacemakers, aneurysm clips, artificial joints) or external (e.g., piercings, orthodontics) ferromagnetic objects; (2) claustrophobia in a confined MRI environment; (3) medications that interfere with hemodynamic coupling (e.g., beta blockers); (4) hypersensitivity to loud noise; or (5) a body circumference exceeding 60cm due to broad shoulders or morbid obesity
研究组 & 干预措施
Smartphone
Participants randomized into the Smartphone app arm would use the smartphone app OptiMAT in conjunction with treatment as usual (TAU). Participants would use OptiMAT to complete daily self-assessments of opiate misuse, opiate craving, opiate withdrawal, and mood. The app will personalized feedback for maintaining abstinence goals. The app would also use geographic ecological momentary assessment (GEMA) to intervene via push notification when participants enter areas previously identified as high-risk for opiate use.
干预措施: Smartphone
Monitoring Only
Participants randomized into the Monitoring Only arm would undergo treatment as usual (TAU) but without the smartphone app.
结局指标
主要结局
Urinalysis - Week 4
时间窗: 4 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 22
时间窗: 22 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 20
时间窗: 20 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 0 (Intake)
时间窗: 1 day
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 2
时间窗: 2 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 3
时间窗: 3 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 5
时间窗: 5 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 7
时间窗: 7 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 17
时间窗: 17 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 21
时间窗: 21 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 1
时间窗: 1 week
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 9
时间窗: 9 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 10
时间窗: 10 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 12
时间窗: 12 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 13
时间窗: 13 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 14
时间窗: 14 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 15
时间窗: 15 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 16
时间窗: 16 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 18
时间窗: 18 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 19
时间窗: 19 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 6
时间窗: 6 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 8
时间窗: 8 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 11
时间窗: 11 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 25
时间窗: 25 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 23
时间窗: 23 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 24
时间窗: 24 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
Urinalysis - Week 26
时间窗: 26 weeks
Percent of weekly urinalysis tests positive for opioid metabolite other than Suboxone
次要结局
- TLFB - Month 4(4 months)
- TLFB - Month 0 (Intake)(1 day)
- TLFB - Month 1(1 month)
- TLFB - Month 5(5 months)
- TLFB - Month 6(6 months)
- Treatment Continuation - Week 3(3 weeks)
- Treatment Continuation - Week 8(8 weeks)
- Treatment Continuation - Week 10(10 weeks)
- Treatment Continuation - Week 17(17 weeks)
- TLFB - Month 2(2 months)
- Treatment Continuation - Week 9(9 weeks)
- Treatment Continuation - Week 13(13 weeks)
- Treatment Continuation - Week 16(16 weeks)
- TLFB - Month 3(3 months)
- Treatment Continuation - Week 1(1 week)
- Treatment Continuation - Week 2(2 weeks)
- Treatment Continuation - Week 5(5 weeks)
- Treatment Continuation - Week 6(6 weeks)
- Treatment Continuation - Week 4(4 weeks)
- Treatment Continuation - Week 21(21 weeks)
- Treatment Continuation - Week 22(22 weeks)
- Treatment Continuation - Week 25(25 weeks)
- Treatment Continuation - Week 7(7 weeks)
- Treatment Continuation - Week 14(14 weeks)
- Treatment Continuation - Week 15(15 weeks)
- Treatment Continuation - Week 12(12 weeks)
- Treatment Continuation - Week 11(11 weeks)
- Treatment Continuation - Week 18(18 weeks)
- Treatment Continuation - Week 19(19 weeks)
- Treatment Continuation - Week 20(20 weeks)
- Treatment Continuation - Week 23(23 weeks)
- Treatment Continuation - Week 24(24 weeks)
- Treatment Continuation - Week 26(26 weeks)