Text message-delivered cannabis use disorder treatment with young adults: A large randomized clinical trial.

Background: Two scientific and clinical challenges for treating cannabis use disorder (CUD) are developing efficacious treatments with high likelihood of uptake and scalability, and testing the clinical mechanisms by which treatments work. Because young adults experience more CUD than other age groups, a need exists to test the efficacy and hypothesized causal pathways of novel treatments for CUD. Text-delivered treatments have the potential to reach young adults by increasing access and perceived privacy.

Treating young adult cannabis use disorder with text message-delivered peer network counseling.

Background: Approximately 16.5% of U.S.

Why Are Adolescent Cannabis Use Disorder Treatment Admissions Declining in the US? The Mediated Pathway of State Treatment Admissions Rates before and after Recreational Cannabis Legalization.

: State-level prevalence data are used to investigate whether recreational cannabis legalization moderates the mediated pathway from the perception of low risk of harm, to cannabis use, to cannabis use disorder (CUD) treatment admissions, among adolescents (age 12-17) in the US. : Annual state prevalence measures of perception of low risk, cannabis use, and CUD treatment admissions between 2008 and 2019 ( = 542 state-year observations) were collected from the National Survey on Drug Use and Health (NSDUH) and the Treatment Episode Dataset - Admissions (TEDS-A). A two-way fixed effects (state and year) moderated mediation model was used to test whether recreational legalization moderated the indirect effect of perception of low risk on treatment admissions cannabis use.

Criminal Justice Referrals to Cannabis Use Disorder Treatment among Adolescents and Young Adults following Recreational Cannabis Legalization in the United States.

Objectives: This study investigates whether the proportion of referrals to cannabis use disorder (CUD) treatment from the criminal justice system declined among adolescents (aged 12-17 years) and young adults (aged 18-24 years) following state recreational (adult use) cannabis legalization in the United States between 2008 and 2019.

Methods: Cannabis use disorder treatment referral data were extracted from the Treatment Episode Dataset-Admissions and used to calculate trends in the number and proportion of criminal justice referrals. Difference-in-differences analysis was used to estimate the effect of recreational legalization on the state-level proportion of criminal justice referrals as a share of all admissions.

Young Adult Depression and Cannabis Use: Associations Before and After Recreational Legalization.

Introduction: The co-occurrence of depression with cannabis use worsens both mood and substance use disorder outcomes, with young adults particularly at risk of co-occurrence. This research investigates whether the association of state-level prevalence rates of young adult (age 18-25) depression and cannabis use in the U.S.

Historical geospatial dataset of roads and points of interest for the Chesapeake Bay Eastern Shore region of Maryland, USA, 1865.

The geospatial dataset presented here represents historical middle 19 century built environment features for the Chesapeake Bay Eastern Shore region of Maryland, USA, including present-day Cecil, Caroline, Dorchester, Kent, Queen Anne's, Somerset, Talbot, Wicomico, and Worcester counties. Individual geospatial data layers include roads, landings, ferries, churches, shops, mills, schools, hotels, towns with post offices, and towns with court houses. These data were digitized using Simon J.

Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials.

The current study describes an individual participant data meta-analysis (IPDMA) testing the efficacy of a peer-network counseling (PNC) intervention for preventing substance use escalation in adolescents and young adults. PNC has shown efficacy in reducing substance use among adolescents and young adults across small-scale randomized controlled trials (RCTs). Identifying expected large-scale effects and moderators is an important next step in guiding use of PNC in practice.

Recreational cannabis legalization alters associations among cannabis use, perception of risk, and cannabis use disorder treatment for adolescents and young adults.

Objective: Understanding how recreational cannabis legalization may impact cannabis use disorder (CUD) among adolescents and young adults is key to developing an appropriate public health response. This research investigates whether associations among adolescent and young adult perception of risk of harm from cannabis use, prevalence of past-month cannabis use, and rate of CUD treatment admissions changed following recreational cannabis legalization in the US, 2008-2019.

Methods: Data from the NSDUH and TEDS-A datasets are employed in difference-in-differences models of the effect of recreational legalization on perception of risk, cannabis use prevalence, and CUD treatment admissions.

Treatment outcomes associated with medications for opioid use disorder (MOUD) among criminal justice-referred admissions to residential treatment in the U.S., 2015-2018.

Aims: To examine the use and association of medications for opioid use disorder (MOUD) with treatment completion and retention for criminal justice referred (CJR) admissions to residential treatment.

Methods: A retrospective analysis of the Treatment Episode Dataset-Discharge (TEDS-D; 2015-2018) for adults (N = 205,348) admitted to short-term (ST) (< 30 days) or long-term (LT) (>30 days) residential treatment for OUD. Outcomes were MOUD in treatment plans, and treatment completion and retention (ST >10 days; LT > 90 days).

Predicting Self-Medication with Cannabis in Young Adults with Hazardous Cannabis Use.

Using cannabis to reduce psychological and physical distress, referred to as self-medication, is a significant risk factor for cannabis use disorder. To better understand this high-risk behavior, a sample of 290 young adults (ages 18-25; 45.6% female) were recruited from two U.

Neighborhood disadvantage moderates the effect of a mobile health intervention on adolescent depression.

This study leverages data from a pilot randomized controlled trial to investigate whether the effectiveness of a text-delivered mHealth intervention targeting adolescent depression and anxiety differs according to residential- and activity space-based measures of exposure to community-level socioeconomic disadvantage. For depression, we find that intervention efficacy is significantly stronger for youth residing in more disadvantaged neighborhoods, even after controlling for individual level socioeconomic status, as well as marginal moderating effects of activity space-based neighborhood disadvantage on treatment efficacy. We do not find evidence of treatment efficacy moderation by neighborhood disadvantage regarding anxiety.

Young adult cannabis use disorder treatment admissions declined as past month cannabis use increased in the U.S.: An analysis of states by year, 2008-2017.

Objective: This short communication reports on the association of annual measures of young adult (age 18-24) past month cannabis use with cannabis use disorder (CUD) treatment admissions by state in the U.S. from 2008 to 2017.

Racial/ethnic disparities in the use of medications for opioid use disorder (MOUD) and their effects on residential drug treatment outcomes in the US.

Background: This study examines racial/ethnic disparities in the use of medications for opioid use disorder (MOUD) in residential treatment and the influence of race/ethnicity on the association between MOUD use and treatment retention and completion.

Methods: Data were extracted from SAMHSA's 2015-2017 Treatment Episode Dataset-Discharge (TEDS-D) datasets for adult opioid admissions/discharges to short-term (ST) (30 days or less) (N = 83,032) or long-term (LT) (> 30 days) residential treatment settings (N=61,626). Logistic regression estimated the likelihood of MOUD use among racial/ethnic groups and the moderation of race/ethnicity on the probability of treatment completion and retention, controlling for background factors.

Residential Greenspace and Urban Adolescent Substance Use: Exploring Interactive Effects with Peer Network Health, Sex, and Executive Function.

While urban greenspace is increasingly recognized as important to mental health, its role in substance use is understudied. This exploratory study investigates the interaction of greenspace with peer network health, sex, and executive function (EF) in models of substance use among a sample of disadvantaged, urban youth. Adolescents and their parents were recruited from a hospital in the mid-Atlantic region of the U.

Treatment admissions for opioids, cocaine, and methamphetamines among adolescents and emerging adults after legalization of recreational marijuana.

Background: A public health concern stemming from recreational marijuana legalization (RML) is the idea that marijuana may act as a "gateway" drug among youth and young adults, where growing marijuana use will lead to increasing substance use disorder (SUD) for "harder" illicit drugs. This study investigates whether SUD treatment admissions for cocaine, opioids, and methamphetamines increased following RML enactment in Colorado and Washington for adolescents and emerging adults.

Methods: We entered annual 2008-2017 treatment admissions data from the SAMHSA Treatment Episode Dataset - Admissions (TEDS-A) into difference-in-differences models to investigate whether the difference in treatment admissions for cocaine, opioids, and methamphetamines among adolescents (12-17), early emerging adults (18-20), and late emerging adults (21-24) before versus after RML enactment differed between Colorado and Washington and states without RML.

Incorporating Geographic Information Science and Technology in Response to the COVID-19 Pandemic.

Incorporating geographic information science and technology (GIS&T) into COVID-19 pandemic surveillance, modeling, and response enhances understanding and control of the disease. Applications of GIS&T include 1) developing spatial data infrastructures for surveillance and data sharing, 2) incorporating mobility data in infectious disease forecasting, 3) using geospatial technologies for digital contact tracing, 4) integrating geographic data in COVID-19 modeling, 5) investigating geographic social vulnerabilities and health disparities, and 6) communicating the status of the disease or status of facilities for return-to-normal operations. Locations and availability of personal protective equipment, ventilators, hospital beds, and other items can be optimized with the use of GIS&T.

The effect of medications for opioid use disorder (MOUD) on residential treatment completion and retention in the US.

Background: This study examines whether MOUD increases treatment completion and retention in both short-term (ST) and long-term (LT) residential programs using a national dataset.

Methods: Data were extracted from the 2015-2017 TEDS-D (Treatment Episode Dataset-Discharge) datasets for opioid using adults in ST (n = 87,296) and LT (n = 66,623) residential treatment. Primary outcome variables were treatment completion and retention (ST: length of stay >10 days; LT: >90 days).

Adolescent treatment admissions for marijuana following recreational legalization in Colorado and Washington.

Introduction: There is concern that recreational marijuana legalization (RML) may lead to increased cannabis use disorder (CUD) among youth due to increased marijuana use. This study investigates whether adolescent substance use disorder treatment admissions for marijuana use increased in Colorado and Washington following RML.

Methods: Annual data on 2008-2017 treatment admissions for marijuana use from the SAMHSA TEDS-A dataset for adolescents age 12-17 were used to model state treatment admissions trends.

Emotion regulation dynamics predict substance use in high-risk adolescents.

Emotional factors such as stress and anxiety contribute to risk of substance use in adolescents. Descriptive measures of within-person affect variability are often used to predict morbidity, but indices derived from theoretical models may provide more interpretable alternatives. A continuous-time state-space model of emotion regulation as closed-loop feedback control was used to estimate the homeostatic tendency of affect in each of 94 adolescent participants.

The Effect of Brick and Granite Block Paving Materials on Traffic Speed.

Slowing traffic speed in urban areas has been shown to reduce pedestrian injuries and fatalities due to automobile accidents. This research aims to measure how brick and granite block paving materials, which were widely used historically prior to the use of asphalt paving in many cities, may influence free flow traffic speed. Traffic speeds for 690 vehicles traversing street blocks paved with asphalt, granite block, and brick materials were measured using a radar gun on a sample of 18 matched pair (asphalt and historic paving material) street blocks in Philadelphia, Pennsylvania.