Evidence map›Paper›PMID 33755028›Full record

Trial reportJournal of medical Internet research2021

A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study.

Judith J Prochaska, Erin A Vogel, Amy Chieng, Matthew Kendra, Michael Baiocchi, Sarah Pajarito, Athena Robinson

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 94 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04096001 phase1completednot on this map

RCT of Woebot for Substance Use Disorders Phase 1

TypeinterventionalSponsorWoebot HealthRan2020 to 2020Enrolled101ConditionsSubstance Use DisordersArmsWoebot-SUDs (W-SUDs)
NCT06952725 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Intelligent Chatbot for Online Support Groups to Treat Tobacco Addiction

TypeinterventionalSponsorUniversity of California, IrvineRan2026 to 2028Enrolled120ConditionsTobacco Dependence, Tobacco Use DisorderArmsonline quit-smoking support group with intelligent chatbot, online quit-smoking support group with unintelligent bot
3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Judith J ProchaskaStanford Prevention Research Center, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0001-7925-326X
Erin A VogelStanford Prevention Research Center, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0002-7193-8720
Amy ChiengStanford Prevention Research Center, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0003-2739-7338
Matthew KendraDepartment of Psychiatry & Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0002-4065-1217
Michael BaiocchiDepartment of Epidemiology & Population Health, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0002-7571-5268
Sarah PajaritoWoebot Health, San Francisco, CA, United States.ORCID 0000-0003-3201-0353
Athena RobinsonWoebot Health, San Francisco, CA, United States.ORCID 0000-0002-1393-1563

Funding

RCT of Woebot for Substance Use DisordersR44DA048712 · NIDA · WOEBOT LABS, INC. · PI ROBINSON, ATHENA · 2019 to 2021
$1.6M
NIDA NIH HHS R44 DA048712
6 · The paper itself

Abstract

backgroundMisuse of substances is common, can be serious and costly to society, and often goes untreated due to barriers to accessing care. Woebot is a mental health digital solution informed by cognitive behavioral therapy and built upon an artificial intelligence-driven platform to deliver tailored content to users. In a previous 2-week randomized controlled trial, Woebot alleviated depressive symptoms.

objectiveThis study aims to adapt Woebot for the treatment of substance use disorders (W-SUDs) and examine its feasibility, acceptability, and preliminary efficacy.

methodsAmerican adults (aged 18-65 years) who screened positive for substance misuse without major health contraindications were recruited from online sources and flyers and enrolled between March 27 and May 6, 2020. In a single-group pre/postdesign, all participants received W-SUDs for 8 weeks. W-SUDs provided mood, craving, and pain tracking and modules (psychoeducational lessons and psychotherapeutic tools) using elements of dialectical behavior therapy and motivational interviewing. Paired samples t tests and McNemar nonparametric tests were used to examine within-subject changes from pre- to posttreatment on measures of substance use, confidence, cravings, mood, and pain.

resultsThe sample (N=101) had a mean age of 36.8 years (SD 10.0), and 75.2% (76/101) of the participants were female, 78.2% (79/101) were non-Hispanic White, and 72.3% (73/101) were employed. Participants' W-SUDs use averaged 15.7 (SD 14.2) days, 12.1 (SD 8.3) modules, and 600.7 (SD 556.5) sent messages. About 94% (562/598) of all completed psychoeducational lessons were rated positively. From treatment start to end, in-app craving ratings were reduced by half (87/101, 86.1% reporting cravings in the app; odds ratio 0.48, 95% CI 0.32-0.73). Posttreatment assessment completion was 50.5% (51/101), with better retention among those who initially screened higher on substance misuse. From pre- to posttreatment, confidence to resist urges to use substances significantly increased (mean score change +16.9, SD 21.4; P<.001), whereas past month substance use occasions (mean change -9.3, SD 14.1; P<.001) and scores on the Alcohol Use Disorders Identification Test-Concise (mean change -1.3, SD 2.6; P<.001), 10-item Drug Abuse Screening Test (mean change -1.2, SD 2.0; P<.001), Patient Health Questionnaire-8 item (mean change 2.1, SD 5.2; P=.005), Generalized Anxiety Disorder-7 (mean change -2.3, SD 4.7; P=.001), and cravings scale (68.6% vs 47.1% moderate to extreme; P=.01) significantly decreased. Most participants would recommend W-SUDs to a friend (39/51, 76%) and reported receiving the service they desired (41/51, 80%). Fewer felt W-SUDs met most or all of their needs (22/51, 43%).

conclusionsW-SUDs was feasible to deliver, engaging, and acceptable and was associated with significant improvements in substance use, confidence, cravings, depression, and anxiety. Study attrition was high. Future research will evaluate W-SUDs in a randomized controlled trial with a more diverse sample and with the use of greater study retention strategies.

trial registrationClinicalTrials.gov NCT04096001; http://clinicaltrials.gov/ct2/show/NCT04096001.

Indexed as

AlcoholismCognitive Behavioral TherapySubstance-Related DisordersAdultArtificial IntelligenceFemaleHumansMental Healthacceptabilityaddictionartificial intelligencechatbotconversational agentcravingfeasibilitymobile phonepsychoeducationpsychotherapeuticsubstance misusetreatment

Identifiers

PMID33755028
PMCPMC8074987

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.