Cited by 70Substance Abuse Treatment and OutcomesMobile Health and mHealth ApplicationsDigital Mental Health Interventions

Substance use recovery outcomes among a cohort of youth participating in a mobile-based texting aftercare pilot program

Open access
Gonzales, Rachel, Ang, Alfonso, Murphy, Debra A., Glik, Deborah C., Anglin, M. Douglas·2014·Journal of Substance Abuse Treatment

Abstract

Project ESQYIR (Educating & Supporting inquisitive Youth in Recovery) is a pilot study examining the feasibility of a 12-week mobile-based aftercare intervention for youth (ages 12 to 24) transitioning out of community-based substance abuse treatment programs. From January 2012 through July 2013, a total of 80 youth were recruited from outpatient and residential treatment programs, geographically dispersed throughout Los Angeles County, California. Results revealed that youth who participated in the texting mobile pilot intervention were significantly less likely to relapse to their primary compared to the aftercare as usual control condition (OR = 0.52, p = 0.002) over time (from baseline throughout the 12-week aftercare pilot program to a 90-day follow-up). Participants in the texting aftercare pilot program also reported significantly less substance use problem severity (β = −0.46, p = .03) and were more likely to participate in extracurricular recovery behaviors (β = 1.63, p = .03) compared to participants in the standard aftercare group. Collectively, findings from this pilot aftercare study suggest that mobile texting could provide a feasible way to engage youth in recovery after substance abuse treatment to aid with reducing relapse and promoting lifestyle behavior change.

AI snapshot

Written from the paper’s full text.

TL;DR

Project ESQYIR was a 12-week randomized pilot of mobile texting aftercare for youth completing substance abuse treatment in Los Angeles County. Compared with aftercare as usual, texting participants had lower odds of relapse to their primary drug and less substance use problem severity, and reported more extracurricular recovery behaviors.

Key findings

  • Youth in the texting intervention were significantly less likely to relapse to their primary drug over time than aftercare-as-usual controls, based on urinalysis: OR = 0.52, p = 0.002.
  • Texting participants showed significantly less substance use problem severity over time: β = −0.46, p = .03; baseline severity was comparable between conditions (p = .13), but intervention participants decreased while controls increased (baseline M = 0.73 vs. 0.39; discharge M = 0.49 vs. 1.03; 90-day M = 0.54 vs. 1.08).
  • Texting participants were significantly more likely to participate in extracurricular recovery behaviors over time: β = 1.63, p = .03; at discharge they averaged 18.0 days vs. 10.1 days for controls, and at 90-day follow-up 14.5 vs. 12.1 days.
  • 12-step participation decreased overall (β = −3.09, p < .001) with no significant condition-by-time difference (β = 2.79, p > .05); intervention participants had higher 12-step participation at discharge (8.9 vs. 2.9 days, p = .003), but this effect disappeared at 90-day follow-up (7.0 vs. 4.6 days, p = .31). Younger age was associated with higher odds of relapse (OR = 0.89, p = 0.03).

Methods

  • Randomized controlled pilot trial of Project ESQYIR: 80 youth recruited January 2012–July 2013 from three outpatient and three residential community-based substance abuse programs in Los Angeles County, California. Inclusion criteria included ages 12–25, completing substance abuse treatment, owning an SMS-capable cell phone, willingness to comply with procedures, and parental consent if under 18.
  • Participants were assigned to a 12-week mobile texting aftercare intervention or aftercare as usual. The intervention included daily self-monitoring texts with automated feedback, a daily wellness recovery tip, and weekend substance abuse education and social support resource texts; both conditions received two monthly recovery monitoring telephone calls.
  • Assessments occurred at baseline, monthly during the program, discharge, and 90-day follow-up. Measures included urinalysis for methamphetamine/amphetamines, cocaine, opiates, marijuana, and benzodiazepines; T-ASI; GAIN; and BAM. Analyses used chi-square and t-tests, mixed-effects repeated measures, GEE logistic regression, and Bonferroni adjustments with p < .05.

Limitations

  • The paper states that caution is needed because this was a pilot study; participants self-selected into the study and may not generalize to other youth; some data were self-reported and subject to over- or under-reporting; and the study did not examine mental health status or criminal justice system issues.
  • The text also makes evident that the aftercare-as-usual control was not standardized or monitored for fidelity, and the sample was predominantly outpatient, male, and primarily reporting marijuana or methamphetamine as their primary drug.
  • Additional evident limitations include the small pilot sample, the 90-day follow-up period, and reliance on participants’ personal mobile phones for texting, though the paper notes no refusals due to this and that almost all youth reported unlimited free texting plans.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.jsat.2014.01.010

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 53 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    Youth in the texting aftercare pilot reported significantly lower substance use problem severity than those in standard aftercare (β=-0.46, p=.03).

    “Participants in the texting aftercare pilot program also reported significantly less substance use problem severity (β = −0.46, p = .03)”
    Quote in the paperSubstantial claim
  • Findingown data

    Youth in the texting aftercare pilot showed greater participation in extracurricular recovery behaviors than those in standard aftercare (β=1.63, p=.03).

    “were more likely to participate in extracurricular recovery behaviors (β = 1.63, p = .03) compared to participants in the standard aftercare group.”
    Quote in the paperSubstantial claim
  • Findingown data

    In a pilot randomized trial of 80 youth, those in the mobile texting aftercare condition had significantly lower odds of relapsing to their primary substance than those in aftercare as usual, across the 12-week program and 90-day follow-up (OR=0.52, p=0.002).

    “Results revealed that youth who participated in the texting mobile pilot intervention were significantly less likely to relapse to their primary compared to the aftercare as usual control condition (OR = 0.52, p = 0.002) over time (from baseline throughout the 12-week aftercare pilot program to a 90-day follow-up).”
    Quote in the paperSubstantial claim
  • Findingown data

    At 90-day follow-up, the difference between intervention and control participants in 12-step meeting days was not significant (7.0 ± 9.5 vs. 4.6 ± 9.2, p = .31).

    “Specifically, at 90 day follow-up, intervention participants averaged 7.0 days (SD = 9.5) of 12-step meetings compared to 4.6 days (SD = 9.2) among control participants (p = .31).”
    Quote in the paperNot a substantial claim
  • Findingown data

    At discharge, intervention participants had significantly more days of 12-step meeting participation than control participants (M = 8.9 ± 9.9 vs. 2.9 ± 6.6, p = .003).

    “intervention participants were significantly more likely to have higher participation in 12-step meetings (M = 8.9 days ± 9.9) than control participants (M = 2.9 days ± 6.6) at discharge (t = −2.9996, df = 67, p = .003)”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim. 1
  • May combine two claims. 19
  • Classified as probably not a substantial claim. 24
  • The quote only partly states this claim.

    Findingown data

    Among intervention participants, those who relapsed were younger on average than those who did not relapse at month 1, month 2, discharge, and 90-day follow-up.

    “The average age of relapse during the intervention at month 1 was 18.5 ± 3.0 and at month 2 was 18.1 ± 2.7, compared to those who did not relapse, whom were older: 21.0 ± 3.3 and 21.4 ±3.3, respectively.”
    • Also stated in: § 3.2. Differences in Primary Drug Use Relapse Outcomes by Condition · hedged
      “Specifically, youth who relapsed tended to be younger than those who did not relapse at discharge (19.3 years ± 3.3 vs. 21.7 ± 3.2) and 90-day follow-up (19.4 ± 3.2 vs. 21.6 ± 3.1).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Intervention participants showed reductions in substance use severity from baseline to 90-day follow-up, while control participants increased in severity.

    “Figure 1 shows changes in substance use severity by condition over time, showing that the intervention participants had significant reductions in substance use severity from baseline to 90-day follow-up, whereas the control participants continued to increase in severity”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In the pilot, controlling for age and gender, there was a significant treatment effect by time on substance use severity (β = −0.46, p = .03), with intervention participants showing a decreased rate of change compared with controls.

    “however a significant treatment effect by time (β = −0.46, p = .03). Specifically, participants in the mobile texting intervention had a significant decreased rate of change in substance use severity (as lower scores indicate less substance-related problems present within the past month) across time compared to participants in the aftercare as usual control.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Intervention participants had significantly higher participation in recovery activities than control participants at discharge and at 90-day follow-up.

    “however intervention participants were significantly more likely to have higher participation in recovery activities (M = 18.0 days ± 9.3) compared to the standard aftercare control participants (M = 10.1 days ± 9.3) at discharge as well as at the 90 day follow-up (Mint = 14.5 days ± 10.1 versus Mcont = 12.1 days ± 12.3, respectively).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Among youth, substance use problems increase with age; past-30-day illicit drug use and binge drinking are higher among 18-25 year olds (26% and 32%) than among 12-17 year olds (12% and 10%).

    “Specifically, current illicit drug use and binge drinking (in the past 30 days) among youth increased from 12% and 10% among 12 to 17 year olds to 26% and 32% among 18 to 25 year olds (Johnston, O’Malley, Bachman, & Schulenberg, 2012).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Johnston, O’Malley, Bachman, & Schulenberg, 2012

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    A majority of youth return to substance abuse treatment, often more than once.

    “Research shows that a majority will return to treatment, often more than once (Cornelius, Maisto, Pollock, Martin, Salloum, Lynch, & Clark, 2003; Godley, Godley, Dennis, Funk & Passetti, 2002; Winters, Botzet, & Fahnhorst, 2011).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Cornelius, Maisto, Pollock, Martin, Salloum, Lynch, & Clark, 2003

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    • cites Godley, Godley, Dennis, Funk & Passetti, 2002

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    • cites Winters, Botzet, & Fahnhorst, 2011

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A growing majority of adults in substance abuse treatment are early-onset users who began use during adolescence or young adulthood.

    “A growing majority of adults currently in treatment for substance abuse are early-onset users, those who initiated first-time use within the adolescent or young adult time period (Dennis & Kaminer, 2006).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Dennis & Kaminer, 2006

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  • May combine two claims.

    Interpretationown data

    Mobile texting might feasibly engage youth in recovery following substance abuse treatment, helping lower relapse and encourage lifestyle change.

    “Collectively, findings from this pilot aftercare study suggest that mobile texting could provide a feasible way to engage youth in recovery after substance abuse treatment to aid with reducing relapse and promoting lifestyle behavior change.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Relapse patterns commonly lead to a cyclic substance use-treatment trajectory among adult users.

    “It is these relapse patterns that commonly lead to the development of the cyclic substance use-treatment trajectory commonly found among adults users (Anglin, Hser, & Grella, 1997).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Anglin, Hser, & Grella, 1997

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  • May combine two claims.

    Premisecitation

    Although most substance abuse behavioral treatments produce immediate measurable changes in post-treatment substance use, relapse in the first year after treatment remains a major concern for youth.

    “Although most substance abuse behavioral treatments show promise in producing immediate measureable changes in post-treatment substance use, relapse in the initial year post-treatment remains a major concern for youth populations (Williams & Chang, 2000; Godley, Godley, & Dennis, 2001).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Williams & Chang, 2000

      Not checked in the free run.

    • cites Godley, Godley, & Dennis, 2001

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Past-year illicit drug dependence and abuse prevalence is higher among 18-24 year olds (20%) than among 12-17 year olds (7.3%).

    “Past year illicit drug dependence and abuse was estimated at 7.3% for 12–17 year olds, rising to 20% among 18 to 24 year olds (SAMHSA, 2012).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites SAMHSA, 2012

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Substance use behaviors are linked to problematic health, interpersonal, and social outcomes.

    “These statistics are troubling since research links substance use behaviors to problematic health, interpersonal, and social (i.e., school, work, legal) outcomes (CDC, MMWR, 2012).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites CDC, MMWR, 2012

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  • Classified as probably not a substantial claim.

    Premisecitation

    Post-treatment aftercare has been recommended as necessary to sustain treatment gains in adults and adolescents with substance use disorders.

    “Post treatment aftercare, also referred to as continuing care, has been recommended as an essential factor for maintaining treatment gains after treatment for both adults and adolescents with substance use disorders (Godley et al., 2006, McKay, 1999).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Godley et al., 2006

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    • cites McKay, 1999

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A majority of youth (51%) agree that being high feels good, according to national epidemiological survey data.

    “as reflected by national epidemiological survey studies which show a majority of youth (51%) “agree that being high feels good” (Partnership Attitude Tracking Study, 2009).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Partnership Attitude Tracking Study, 2009

      Not checked in the free run.

  • May combine two claims.

    Study design and conductreasoning

    The fidelity of the aftercare-as-usual control condition was neither standardized nor monitored.

    “No attempt was made to standardize or monitor the fidelity of the aftercare as usual standard condition, as it was the intent of the project to compare the mobile texting aftercare approach to the aftercare routinely delivered by treatment programs in the field.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    American adolescents (13-17) send or receive 3,339 texts a month and young adults (18-24) send or receive 1,630 texts a month.

    “Moreover, American youth have been identified as perpetual texters, with adolescents (aged 13 – 17) sending or receiving 3,339 texts a month (six text per waking hour) and young adults (aged 18 – 24) sending or receiving 1,630 (three texts per waking hour) (Fox & Duggan, 2012).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Fox & Duggan, 2012

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductown data

    Participants were randomly assigned to mobile texting intervention or aftercare as usual using a random generator number method.

    “After completion of assessments, participants met with the RA for an overview of Project ESQYIR and their study assignment that was obtained using a random generator number method to one of two study conditions”
    • Also stated in: § 2.2. Procedures · plain
      “Participants were randomly assigned via research randomizer”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Text-messaging mobile approaches have gained wide acceptance as promising behavior-change interventions for youth, especially in healthcare.

    “Increasingly, mobile methods, using text-messaging models, have been widely embraced as promising behavior change interventions for youth populations (Patrick, Griswold, Raab, & Intille, 2008), especially within the healthcare arena of disease management (Cole-Lewis & Kershaw, 2010)”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Patrick, Griswold, Raab, & Intille, 2008 source

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    • cites Cole-Lewis & Kershaw, 2010 source

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  • May combine two claims.

    Premisecitation

    Few studies have examined post-treatment aftercare programs for youth, and such efforts are often restricted to traditional adult-modeled 12-step approaches.

    “To date, however, there is little research on post-treatment aftercare programs for youth (White & Godley, 2007), with efforts often limited to traditional adult-modeled social support 12-step approaches (Kelly, Myers, & Brown, 2005).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites White & Godley, 2007

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    • cites Kelly, Myers, & Brown, 2005

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A youth smoking-cessation program delivered by text messaging improved quit rates at 6 weeks.

    “For instance, a text messaging behavioral intervention designed for smoking cessation among youth demonstrated improved quit rates at 6 weeks (Rodgers et al., 2005).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Rodgers et al., 2005 source

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  • May combine two claims.

    Interpretationcitation

    The texting intervention served as a buffer against the tendency for youth to continue to relapse and not engage in recovery support activities in the initial three months after treatment.

    “Findings suggest that the texting intervention served as a buffer towards the tendency for youth to continue to relapse (Kaminer & Godley, 2010) and not engage in recovery support activities (Kelley et al., 2005) in the initial three months after treatment.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Kaminer & Godley, 2010

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    • cites Kelley et al., 2005

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    For teens aged 12-17, the typical daily number of texts increased from 50 in 2009 to 60 in 2011.

    “Data reveal that the median number of texts sent on a typical day by teens 12 – 17 rose from 50 in 2009 to 60 in 2011 (Pew Research Center, 2012).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Pew Research Center, 2012

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    Compared with standard aftercare, the mobile texting aftercare pilot program demonstrated promise for reducing relapse risk and promoting recovery behavior engagement among substance-abusing youth after treatment.

    “Compared to a standard aftercare control condition, this mobile texting aftercare pilot program demonstrated promise for reducing relapse risk and promoting recovery behavior engagement among substance-abusing youth after treatment.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    To address multiple comparisons, Bonferroni corrections were applied to p-values to limit Type I error inflation.

    “In the analyses, we examined several outcomes, and to account for multiple comparison testing, Bonferroni adjustments were made to the p-values to control for Type I error inflation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A recent report indicated that participating in standard 12-step programs after substance abuse treatment can yield better outcomes than not participating.

    “A recent report on the effectiveness of standard 12-step participation after substance abuse treatment demonstrated that such an approach can lead to positive outcomes compared to not participating (Davis et al., 2002).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Davis et al., 2002

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Mobile texting is the most common form of mobile communication among youth, and cellphone ownership among youth has increased exponentially over the last five years.

    “Mobile texting in particular has been designated as the most common form of mobile communication among youth, as ownership of cellphones among this segment of the population has increased exponentially over the last five years (Banks, 2008).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Banks, 2008

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    Self-report data on substance use problem severity and recovery behaviors may have inherent over- or under-reporting biases.

    “Additionally, because some of the data are based on self-report (i.e., substance use problem severity and recovery behaviors), there may be some inherent biases with over- or under-reporting information associated with participant responses.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The current study's findings can be useful for substance abuse practitioners by offering a novel texting aftercare model for engaging youth in recovery and motivating recovery behaviors.

    “Findings from the current study can be useful for substance abuse practitioners who work with youth as it offers a novel aftercare model (i.e., texting) for engaging youth in recovery post-treatment and motivating them to engage in recovery behaviors, i.e., continue to make life changes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationown data

    Project ESQYIR is a promising aftercare intervention, but given its pilot nature, continued research on its components is warranted, especially among younger youth who continued to have relapse issues.

    “Overall, Project ESQYIR can be described as a promising aftercare intervention; however given the pilot nature of the project, continued research on the utility and satisfaction with the differential components of the intervention are warranted, especially among younger aged youth who continued to have issues with relapse.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Mental health status and criminal justice system issues are commonly reported among substance-abusing youth.

    “which are commonly reported among substance abusing-youth (Hser, Grella, Hubbard, Hsieh, Fletcher, Brown, & Anglin, 2001).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hser, Grella, Hubbard, Hsieh, Fletcher, Brown, & Anglin, 2001

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Qualitative findings with youth in treatment found very few endorsing total abstinence recovery mottos, and instead embracing substance use as a lifestyle behavior and a matter of personal control or choice.

    “This was supported by qualitative findings with youth in treatment which found very few youth endorsing total abstinence recovery mottos, and instead embracing substance use to be more of a life-style behavior and a matter of personal control/choice (Gonzales et al., 2012)”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Gonzales et al., 2012

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    Mobile-based aftercare approaches require minimal time commitments and effort from providers because most service information can be automated.

    “Lastly, such mobile-based aftercare approaches require minimal time commitments and effort from providers as the majority of service-information can be automated.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    Mobile texting recovery programs offer advantages over traditional approaches, including personalization, convenience, enhanced assessment and monitoring, flexibility, and low financial cost.

    “Implementing a mobile texting recovery program offers several advantages over traditional-based approaches currently in place, including (1) personalization and targeted engagement, (2) increased convenience; (3) enhanced assessment and monitoring; (4) greater flexibility of service delivery in terms of frequency and timing; and (5) requiring minimal financial resources to maintain.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A disease management framework for chronic illnesses promotes self-regulation via self-monitoring as a critical component for achieving and sustaining behavior change.

    “This theoretical model supports a disease management framework commonly used in health care with chronic illnesses which promote self-regulation via self-monitoring as a critical component for achieving and sustaining behavior change (Wagner, 2001).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Wagner, 2001 source

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Information technology has substantially broadened the scope of health-related service delivery.

    “Even within the last year, information technology has broadened the scope of health-related service delivery substantially (Goldzweig, Towfigh, Maglione, & Shekelle, 2009).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Goldzweig, Towfigh, Maglione, & Shekelle, 2009

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    The results are based on a pilot study, so caution is needed when interpreting the effectiveness of the mobile-based aftercare intervention.

    “Caution should be taken when interpreting the results (i.e., effectiveness of the mobile-based aftercare intervention) as it is based on a pilot study.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Promoting lifestyle behavior change focused on wellness for recovery can be effective, rather than traditional aftercare approaches that focus on complete abstinence.

    “Findings also imply that promoting lifestyle behavior change in a way that meets their needs (i.e., focus on wellness for recovery) can be effective rather than following traditional aftercare approaches that tend to focus on and enforce complete abstinence (i.e., 12-step models).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Mobile technology greatly enhances access to aftercare services because they can be accessed anytime and anywhere.

    “Additionally, because aftercare services to support recovery are not routinely or systematically rendered in the substance use treatment field, mobile technology greatly enhances access to such services as they can be accessed anytime and anywhere.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Aftercare services to support recovery are not routinely or systematically rendered in the substance use treatment field.
38 of 38
  • The paper relies on this without support.

    Aftercare services to support recovery are not routinely or systematically rendered in the substance use treatment field.

    “Additionally, because aftercare services to support recovery are not routinely or systematically rendered in the substance use treatment field, mobile technology greatly enhances access to such services as they can be accessed anytime and anywhere.”
  • The paper relies on this without support.

    The market penetration of health information-based technologies is making behavioral health self-management tools increasingly accessible.

    “The market penetration of health information-based technologies, broadly encompassing standard mobile phones, smart phones, tablet computers, or wireless local area networks, is rendering a world where behavioral health self-management tools are becoming increasingly accessible.”
2 of 2

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Digital interventions for SUDs have demonstrated efficacy for screening and assessment, treatment and recovery, as stand-alone tools or as adjuncts to clinician-delivered interventions.

    “Digital interventions for SUDs have demonstrated efficacy for screening and assessment 251- 253 , treatment 254,255 and recovery 250,256 , as stand- alone tools or as adjuncts to clinician- delivered in terventions.”

    From Substance use disorders: a comprehensive update of classification, epidemiology, neurobiology, clinical aspects, treatment and prevention (2023) · cites this paper as [250]

    The Discussion reports that a mobile-texting aftercare program showed promise for reducing relapse risk and supporting recovery among youth after substance-use treatment. But the cited paper is a pilot of one recovery intervention, and its Limitations section cautions against firm conclusions about effectiveness. It does not establish the broader efficacy of digital interventions for screening, assessment, or treatment; the printed sentence cites other sources for those uses. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Reported participant age exceeds the eligibility limit

    Minor

    Participants were required to be no older than 25, but the reported sample includes a 26-year-old. The abstract gives an even narrower age range of 12 to 24.

1 of 1

Cites

Flagged first, then by citations

1 of the 56 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. Kobak, 1996, Computerized assessment in clinical drug trials, Psychopharmacology Bulletin, 32, 464
  2. Leach-Lemens, 2009, Using mobile phones in HIV care and prevention, HIV AIDS treatment in practice, 137, 2
  3. White, 2007, Adolescent recovery: What we need to know, Student Assistance Journal, 19, 20

Cited by

Sorted by citations

Authors
Gonzales, R., Ang, A., Murphy, D. A., Glik, D. C., & Anglin, M. D.
Affiliations
University of California, Los Angeles (US)
Venue
Journal of Substance Abuse Treatment
Publisher
Elsevier BV
Published
2014-07
Volume
47
Issue
1
Pages
20-26
ISSN
0740-5472 (ISSN-L)
OpenAlex
W2087479833
Cited by
70
References
56
Citations by year
2026: 2 · 2025: 3 · 2024: 2 · 2023: 5 · 2022: 2 · 2021: 7 · 2020: 11 · 2019: 11 · 2018: 9 · 2017: 9 · 2016: 5 · 2015: 2 · 2014: 2
FWCI
4.53
Type
journal article
Language
en
Open access
Locations
  • Journal of Substance Abuse Treatment (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (5p30da016383-10)
  • National Institute on Drug Abuse (P30-DA016383, K01DA027754)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
adolescent substance use, substance use disorder recovery, text messaging, relapse prevention, residential treatment, outpatient care, recovery behavior, feasibility
MeSH terms
Adolescent, Adult, Community Mental Health Services, Feasibility Studies, Female, Humans, Male, Pilot Projects, Substance Abuse Treatment Centers, Substance-Related Disorders, Young Adult, Text Messaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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