Pathways to Sexual Risk Taking Among Female Adolescent Detainees

Sexual risk taking among female delinquents represents a significant public health problem. Research is needed to understand the pathways leading to sexual risk taking among this population. This study sought to address this issue by identifying and testing two pathways from child maltreatment to non-condom use among 329 White and 484 African American female adolescent detainees: a relational pathway and a substance use coping pathway. The relational pathway indicated that child maltreatment would be related to non-condom use via depressive self-concept and condom use self-efficacy. The substance use coping pathway suggested that depressive self-concept and alcohol-based expectancies for sexual enhancement would mediate the relationship between child maltreatment and non-condom use. As hypothesized, the relational pathway variables were associated with one another in the expected directions; however, evidence of mediation was not found. Support for mediation was found for the substance use coping pathway. Exploratory across group comparison analysis indicated that the relational pathway was significant for White girls whereas the substance use coping pathway was significant for African American girls. Limitations and implications for future research are discussed

Relapse Among Recovering Addiction Professionals: Prevalence and Predictors

In 2013–2014, a cross-sectional, exploratory, survey design was used to obtain a conservative estimate of relapse among a sample of recovering addiction professionals in the United States and to identify potential predictors for relapse. The sample (n = 265) was drawn from the International Certification and Reciprocity Consortium. The relapse rate for the sample was 14.7%. Two predictors for relapse were identified in the stepwise logistic regression. The more mutual-aid group meetings respondents attended per month, the less likely they were to have experienced relapse (Wald = 7.956, p =.005), and the longer participants had been in recovery when their careers began, the less likely they were to have experienced relapse (Wald = 4.366, p =.037). The authors provide suggestions regarding the recovery health of recovering addiction professionals as well as recommendations for future research

A prospective study of behavioral health indicators and repeat jail admissions among rural inmates

Abstract Background Approximately three quarters of a million adults are detained in US jails, and rural detention centers are responsible for the largest recent increases in this population. It is estimated that two thirds of jail inmates meet criteria for a substance use disorder (SUD), nearly half present symptoms consistent with a mental health condition (MHC), and the vast majority of adults in jails have been arrested and booked into these facilities in the past. It is critical to examine the link between SUDs, MHCs, and readmissions to help inform better approaches. Methods This prospective study examined the associations between SUDs, MHCs, and jail readmissions in a random sample of 224 adults collected from a rural correctional facility in North Carolina. The Comprehensive Addiction and Psychological Evaluation-5 (CAAPE-5) was administered to participants within 24 to 96 h of admission to the jail. Information consistent with DSM-5 designations for SUDs and several MHCs was evaluated in conjunction with 12-month jail readmission data. Results Bivariate analyses demonstrated the disproportionality of SUDs and several MHCs (including depressive episode, posttraumatic stress, and antisocial personality) among adults who were readmitted to the jail. Binary multivariate logistic regression analyses showed SUDs nor MHCs to be associated with any jail readmissions, but multinomial regression results indicated SUDs were the most robust indicator of multiple 12-month jail readmissions. Conclusions Local jails need to implement systems capable of conducting behavioral health assessments, with a special focus on SUDs as one of the strongest indicators of readmission. This information will allow jail administrators to better manage detainees while they are incarcerated, but it can also enhance the ability to connect adults with appropriate programming options to address the condition and reduce the likelihood of reentering the detention center

A naturalistic comparison of the effectiveness of methadone and two sublingual formulations of buprenorphine on maintenance treatment outcomes: findings from a retrospective multisite study

OBJECTIVE: This study sought to compare the effectiveness of the 3 most commonly prescribed maintenance medications in the United States indicated for the treatment of opioid dependence in reducing illicit drug use and retaining patients in treatment. METHOD: Data were abstracted from electronic medical records for 3,233 patients admitted to 34 maintenance treatment facilities located throughout the United States during the period of July 1, 2012, through July 1, 2013. Patients were grouped into 1 of 3 medication categories based on their selection at intake (methadone [n = 2,738; M dosage = 64.64 mg/d, SD = 25.58], Suboxone [n = 102; M dosage = 9.75 mg/d, SD = 4.04], or Subutex [n = 393; M dosage = 12.21 mg/d, SD = 5.31]) and were studied through retrospective chart review for 6 months or until treatment discharge. Two measures of patient retention in treatment and urinalysis drug screen (UDS) findings for both opioids and various nonopioid substances comprised the study outcomes. RESULTS: The average length of stay (LOS) in terms of days in treatment for the methadone group (M = 169.86, SE = 5.02) was significantly longer than both the Subutex (M = 69.34, SE = 23.43) and Suboxone (M = 119.35, SE = 20.82) groups. The Suboxone group evinced a significantly longer average LOS relative to the Subutex group. After adjustment for relevant covariates, patients maintained on methadone were 3.73 times (95% confidence interval [CI]= 2.82-4.92) and 2.48 times (95% CI = 1.57-3.92) more likely to be retained in treatment at 6 months than patients prescribed Subutex and Suboxone, respectively. The 6-month prevalence rates of positive UDS findings for both opioids and nonopioid substances were similar across medication groups. CONCLUSIONS: Comparable rates of illicit drug use at 6 months may be expected irrespective of maintenance medication, while increased retention may be expected for patients maintained on methadone relative to those maintained on Suboxone or Subutex

Predictors of patient retention in methadone maintenance treatment

This study sought to determine whether select pretreatment demographic and in-treatment clinical variables predict premature treatment discharge at 6 and 12 months among patients receiving methadone maintenance treatment (MMT). Data were abstracted from electronic medical records for 1,644 patients with an average age of 34.7 years (SD = 11.06) admitted to 26 MMT programs located throughout the United States from 2009 to 2011. Patients were studied through retrospective chart review for 12 months or until treatment discharge. Premature discharge at 6- and 12-month intervals were the dependent variables, analyzed in logistic regressions. Clinical predictor variables included average methadone dosage (mg/d) and urinalysis drug screen (UDS) findings for opioids and various nonopioid substances at intake and 6 months. Pretreatment demographic variables included gender, race/ethnicity, employment status, marital status, payment method, and age at admission. UDS findings positive (UDS+) for cocaine at intake and 6 months were found to be independent predictors of premature discharge at 12 months. UDS+ for opioids at 6 months was also an independent predictor of premature discharge at 12 months. Higher average daily methadone dosages were found to predict retention at both 6 and 12 months. Significant demographic predictors of premature discharge at 6 months included Hispanic ethnicity, unemployment, and marital status. At 12 months, male gender, younger age, and self-pay were found to predict premature discharge. Select demographic characteristics may be less important as predictors of outcome after patients have been in treatment beyond a minimum period of time, while others may become more important later on in treatment