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Using Technology to Reduce Youth Substance Use

Using Technology to Reduce Youth Substance Use

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04446910
Acronym
TEXT2
Enrollment
50
Registered
2020-06-25
Start date
2020-05-01
Completion date
2025-04-01
Last updated
2026-09-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Drug Use

Keywords

Adolescent, Juvenile justice, text messaging, Substance use, mHealth

Brief summary

The research project will focus on conducting a trial of whether a tailored SMS text-messaging intervention is efficacious in improving justice-involved youths' substance use or dual diagnosis treatment attendance and engagement.

Detailed description

The study will demonstrate how delivery of motivational/coaching messages to justice-involved youth and their caregivers will lead to greater youth substance use treatment attendance and engagement. The study will start with identifying the feasibility and acceptability of the SMS text-messaging intervention with community-supervised justice-involved youth. Then, the study will determine whether the tailored dyadic (youth and caregiver) "SMS text-messaging plus" intervention (appointment reminder texts plus motivational message texts) improves youth substance use or dual diagnosis treatment attendance and engagement relative to the "SMS text messaging" comparison (only appointment reminder texts). Finally, the study will characterize patterns of key justice and behavioral health system-level factors that promote or hinder eventual adoption and sustainability of mHealth technology as a tool to improve treatment attendance for justice-involved youth.

Interventions

BEHAVIORALSMS Text Messaging Plus

SMS text messaging intervention for a period of 90 days to encourage attendance at community-based substance use or dual diagnosis treatment appointments through treatment appointment reminders plus motivational messages

SMS text messaging intervention for a period of 90 days that included only treatment appointment reminders

Sponsors

University of California, San Francisco
Lead SponsorOTHER
National Institute on Drug Abuse (NIDA)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Intervention model description

This is a hybrid 1 effectiveness-implementation design in which the investigators will test a theory-driven digital health (i.e., SMS text-messaging) treatment engagement intervention while also collecting data on the text messaging platform's potential implementation and adoption within juvenile justice and behavioral health settings.

Eligibility

Sex/Gender
ALL
Age
13 Years to 18 Years
Healthy volunteers
No

Inclusion criteria

* English-speaking youth with willing adult caregiver * Ages 13-18 * Justice-involved while living in the community * Own a mobile phone or tablet * Are willing to send and receive text messages * Are referred to community-based substance use and/or mental health treatment

Exclusion criteria

\-

Design outcomes

Primary

MeasureTime frameDescription
Treatment Attendance90 days post baselineYouth's percentage of treatment sessions attended as separately self-reported by youth and caregivers.

Secondary

MeasureTime frameDescription
Alcohol Use90 days post baselineThe Adolescent Risk Behavior Assessment (ARBA) is used to assess quantity and frequency of previous (lifetime and past 90 days) alcohol use. These data represent the number of youth who endorsed any alcohol use in the past 90 days
Drug Use90 days post baselineThe Adolescent Risk Behavior Assessment (ARBA) is used to assess quantity and frequency of previous (lifetime and past 90 days) cannabis and other drug use. These data represent the number of youth who endorsed any drug use in the past 90 days
Tobacco Use90 days post baselineThe Adolescent Risk Behavior Assessment (ARBA) is used to assess quantity and frequency of previous (lifetime and past 90 days) cannabis and other drug use. These data represent the number of youth who endorsed any tobacco use in the past 90 days
In Mental Health Treatment at 90 Day Follow up90 days post baselineTreatment Status and Attendance Youth survey is used to gather detailed information about type of treatment the youth is attending.
In Substance Use Treatment at 90 Day Follow up90 days post baselineTreatment Status and Attendance Youth survey is used to gather detailed information about type of treatment the youth is attending.
In Dual Diagnosis (Mental Health and Substance Use) Treatment at 90 Day Follow up90 days post baselineTreatment Status and Attendance Youth survey is used to gather detailed information about type of treatment the youth is attending.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORMarina Tolou-Shams, PhD

University of California, San Francisco

Participant flow

Recruitment details

A total of 50 participants were recruited as 25 youth-caregiver dyads. There were a total of 24 participants (or 12 dyads) in the intervention and 26 participants (or 13 dyads) in the control condition.

Baseline characteristics

Characteristic
Age, Continuous
Caregiver Age Demographics
45.1 years
STANDARD_DEVIATION 7.05
Age, Continuous
Youth Age Demographics
16.2 years
STANDARD_DEVIATION 1.4
Race (NIH/OMB)
Caregiver Race Demographics
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Caregiver Race Demographics
Asian
0 Participants
Race (NIH/OMB)
Caregiver Race Demographics
Black or African American
6 Participants
Race (NIH/OMB)
Caregiver Race Demographics
More than one race
0 Participants
Race (NIH/OMB)
Caregiver Race Demographics
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Caregiver Race Demographics
Unknown or Not Reported
1 Participants
Race (NIH/OMB)
Caregiver Race Demographics
White
11 Participants
Race (NIH/OMB)
Youth Race Demographics
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Youth Race Demographics
Asian
0 Participants
Race (NIH/OMB)
Youth Race Demographics
Black or African American
5 Participants
Race (NIH/OMB)
Youth Race Demographics
More than one race
2 Participants
Race (NIH/OMB)
Youth Race Demographics
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Youth Race Demographics
Unknown or Not Reported
1 Participants
Race (NIH/OMB)
Youth Race Demographics
White
5 Participants
Region of Enrollment
United States
26 participants
Sex/Gender, Customized
Caregiver Sex Demographics
Declined to state
0 Participants
Sex/Gender, Customized
Caregiver Sex Demographics
Female
10 Participants
Sex/Gender, Customized
Caregiver Sex Demographics
Male
5 Participants
Sex/Gender, Customized
Caregiver Sex Demographics
TransMale
1 Participants
Sex/Gender, Customized
Youth Sex Demographics
Declined to state
1 Participants
Sex/Gender, Customized
Youth Sex Demographics
Female
4 Participants
Sex/Gender, Customized
Youth Sex Demographics
Male
7 Participants
Sex/Gender, Customized
Youth Sex Demographics
TransMale
0 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 120 / 120 / 130 / 13
other
Total, other adverse events
0 / 120 / 120 / 130 / 13
serious
Total, serious adverse events
0 / 120 / 120 / 130 / 13

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 2, 2026