Exploring the performance of during-treatment substance use outcome measures in predicting longer-term psychosocial functioning and post-treatment abstinence.

BACKGROUND: The selection of appropriate efficacy endpoints in clinical trials has been a long-standing challenge for the substance use disorder field. Using data from a large, multi-site National Drug Abuse Treatment Clinical Trials Network trial (CTN-0044; n=474), this secondary data analysis aimed to explore whether specific proximal (during-treatment) substance use outcome measures predict longer-term improvements in psychosocial functioning and post-treatment abstinence, and whether predictions vary depending on the specific substance (cannabis, cocaine/stimulants, opioids, and alcohol). METHODS: Generalized linear mixed models examined associations between six during-treatment substance use outcome measures and social functioning impairment (Social Adjustment Scale Self-Report) and severity of psychiatric symptoms (Brief Symptom Inventory-18) at end-of-treatment, and 3- and 6-months after treatment as well as post-treatment abstinence. RESULTS: Maximum days of consecutive abstinence, proportion of days abstinent, ≥3 weeks of continuous abstinence, and the proportion of urine specimens negative for the primary substance were associated with post-treatment psychiatric and social functioning improvement and abstinence. However, only the effects of abstinence during the last 4 weeks of the treatment period on all three post-treatment outcomes was stable over time and did not differ between primary substance groups. In contrast, complete abstinence during the 12-week treatment period was not consistently associated with functioning improvements. CONCLUSIONS: Substance use outcome measures capturing the duration of primary substance abstinence during treatment are suitable predictors of post-treatment abstinence and longer-term psychosocial functioning improvement. Binary outcomes, such as end-of-treatment abstinence, may be particularly stable predictors and attractive given their ease of computation and straightforward clinical interpretability.

Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment.

Introduction: While polysubstance use has consistently been associated with higher rates of relapse, few studies have examined subgroups with specific combinations and time course of polysubstance use (i.e., polysubstance use patterns). This study aimed to classify and compare polysubstance use patterns, and their associations with relapse to regular opioid use in 2637 participants in three large opioid use disorder (OUD) treatment trials. Methods: We explored the daily patterns of self-reported substance use in the 28 days prior to treatment entry. Market basket analysis (MBA) and repeated measure latent class analysis (RMLCA) were used to examine the subgroups of polysubstance use patterns, and multiple logistic regression was used to examine associations between identified classes and relapse. Results: MBA and RMLCA identified 34 "associations rules " and 6 classes, respectively. Specific combinations of polysubstance use and time course (high baseline use and rapid decrease of use prior to initiation) predicts a worse relapse outcome. MBA showed individuals who co-used cocaine, heroin, prescription opioids, and cannabis had a higher risk for relapse (OR = 2.82, 95%CI = 1.13, 7.03). In RMLCA, higher risk of relapse was observed in individuals who presented with high baseline prescription opioid (OR = 1.9, 95% CI = 1.3, 2.76) or heroin use (OR = 3.54, 95%CI = 1.86, 6.72), although use decreased in both cases prior to treatment initiation. Conclusions: Our analyses identified subgroups with distinct patterns of polysubstance use. Different patterns of polysubstance use differentially predict relapse outcomes. Interventions tailored to these individuals with specific polysubstance use patterns prior to treatment initiation may increase the effectiveness of relapse prevention.

Assessment of Prescription Opioid Medical Use and Misuse Among Parents and Their Adolescent Offspring in the US.

Importance: Limited information is available regarding the association between parental and adolescent medical prescription opioid use and misuse in the US. Objective: To examine the associations between parental and adolescent prescription opioid medical use and misuse. Design, Setting, and Participants: This cross-sectional, nationally representative study included 15 200 parent-adolescent dyads from the annual 2015-2017 National Survey on Drug Use and Health. Data were collected from January 6, 2015, to December 20, 2017, and analyzed from October 4, 2019, to October 15, 2020. Exposures: Parental past 12-month exclusive medical prescription opioid use and any misuse (ie, using without a prescription or in any way not directed by a physician). Main Outcomes and Measures: Adolescent past 12-month medical prescription opioid use or misuse. Multivariable regressions estimated associations between parental and offspring medical prescription opioid use or misuse, controlling for sociodemographic and psychosocial variables. Results: Respondents included 9400 mother-child and 5800 father-child dyads in the same household; children were aged 12 to 17 years (52.8% male; mean [SD] age, 14.5 [1.7] years). Controlling for other factors, parental medical prescription opioid use was associated with adolescent prescription opioid medical use (adjusted odds ratio [aOR], 1.28; 95% CI, 1.06-1.53) and misuse (aOR, 1.53; 95% CI, 1.07-2.25), whereas parental misuse was not. Parental medical prescription stimulant use was associated with adolescent medical prescription opioid use (aOR, 1.40; 95% CI, 1.02-1.91). Parental marijuana use (aOR, 1.84; 95% CI, 1.13-2.99), parent-adolescent conflict (aOR, 1.26; 95% CI, 1.05-1.52), and adolescent depression (aOR, 1.75; 95% CI, 1.26-2.44) were associated with adolescent prescription opioid misuse. Adolescent delinquency (aOR, 1.55; 95% CI, 1.38-1.74) and perceived schoolmates' drug use (aOR, 2.87; 95% CI, 1.95-4.23) were also associated with adolescent misuse and more weakly with medical use (aORs, 1.13 [95% CI, 1.05-1.22] and 1.61 [95% CI, 1.32-1.96], respectively). Conclusions and Relevance: Youth use of prescription opioids is in part a structural/environmental issue. The findings of this study suggest that parental medical prescription opioid use is associated with offspring prescription opioid use, whereas parental misuse is not. Restricting physicians' opioid prescribing to parents is a crucial public health goal. In addition, parents could be educated on the risks of their prescription opioid use for offspring and on practices to mitigate risk, including safe medication storage and disposal. Screening for parental prescription opioid use could be part of pediatric practice. Addressing adolescent mental health could also reduce adolescent prescription opioid misuse.

Exploring gender differences among treatment-seekers who use opioids versus alcohol and other drugs.

Identifying clinical differences between opioid users (OU) and alcohol and other drug users (AOD) may help to tailor treatment to OU, particularly among the majority of OU who are not on opioid agonist treatments. Given the dearth of research on these differences, this study explored gender differences in demographic and clinical characteristics between OU and AOD. Participants (N = 506) were from a multisite, randomized controlled clinical trial of an Internet-delivered psychosocial intervention conducted in 2010-2011. Logistic regression models explored differences in demographic and clinical characteristics by substance use category within and between women and men. Women OU were more likely to be younger, White, employed, benzodiazepine users, and less likely to have children or use cocaine and cannabis than women AOD. Men OU, compared to men AOD, were more likely to be younger, White, younger at first abuse/dependence, benzodiazepine users, and reported greater psychological distress, but were less likely to be involved in criminal justice or use stimulants. Interactions by gender and substance use were also detected for age of first abuse/dependence, employment, and criminal justice involvement. These findings provide a nuanced understanding of gender differences within substance use groups to inform providers for OU seeking treatment.

Neurocognitive Profiling of Adult Treatment Seekers Enrolled in a Clinical Trial of a Web-delivered Intervention for Substance Use Disorders.

OBJECTIVE: This study is a secondary descriptive analysis that explores and compares the cognitive profiles of adults entering treatment at geographically diverse community-based substance use disorder treatment facilities. METHODS: Performance on cognitive measures at baseline was compared across 5 primary substance subgroups of individuals (alcohol = 104; cocaine = 102; stimulants = 69; opioids = 108; marijuana = 114) enrolled in a web-based psychosocial treatment study conducted within the National Drug Abuse Treatment Clinical Trials Network. MicroCog subtests were used to assess cognitive domains of attention and mental control, reasoning and cognitive flexibility, and spatial processing. RESULTS: The average age of onset for a substance use disorder was early to mid-20s, with marijuana users reporting the earliest age of onset (mean 19.9, SD 7.5) and stimulant users reporting the latest (mean 25.2, SD 9.9). Among the total sample, half (49.7%) demonstrated impairment in cognitive flexibility and reasoning, and over one-third (37.3%) had impairment in verbal learning and memory. Stimulant (37.68%) and cocaine (34.31%) users showed significantly greater clinical impairment in attention and mental control compared with alcohol users (17.31%) and opioid (21.30%) users (stimulant subgroup only) (χ [4] = 10.97, P = 0.027). Cocaine users showed the greatest overall impairment across total and proficiency subtest scores, although these were not statistically different from other subgroups. CONCLUSIONS: These findings confirmed previous studies, indicating a high prevalence of significant cognitive dysfunction across all substance use categories among treatment-seeking adults, and found that cocaine use appears to be associated with the most impairment. Increasing knowledge of similarities and differences between primary substance subgroups can help guide substance use disorder treatment planning.

Demographic and clinical characteristics of treatment seeking women with full and subthreshold PTSD and concurrent cannabis and cocaine use disorders.

While the detrimental effects of concurrent substance use disorders (SUDs) are now being well documented, very few studies have examined this comorbidity among women with posttraumatic stress disorder (PTSD). Data for these analyses were derived from the "Women and Trauma" study conducted within the National Drug Abuse Treatment Clinical Trials Network. Women with full or subthreshold PTSD and co-occurring cannabis use disorder (CUD) and cocaine use disorder (COD; N=99) were compared to their counterparts with co-occurring CUD only (N=26) and co-occurring COD only (N=161) on rates of trauma exposure, psychiatric disorders, psychosocial problems, and other substance use utilizing a set of multivariate logistic regressions. In models adjusted for age and race/ethnicity, women with PTSD and COD only were significantly older than their counterparts with CUD only and concurrent CUD+COD. Relative to those with CUD only, women with concurrent CUD+COD had higher odds of adult sexual assault. Relative to those with COD only, women with concurrent CUD+COD had higher odds of alcohol use disorder in the past 12months. Finally, relative to those with CUD only, women with COD only had higher odds of ever being arrested/convicted and adult sexual assault. The higher rates of adult sexual assault and alcohol use disorder among those with concurrent CUD+COD suggest the need for trauma-informed approaches that can respond to the needs of this dually-diagnosed population. Moreover, the causal link between repeated traumatic stress exposure and polysubstance use requires further examination.

Web-based treatment for substance use disorders: differential effects by primary substance.

INTRODUCTION: This secondary analysis of data from a large, multi-site effectiveness trial (NCT01104805) sought to determine whether effects of a web-based behavioral treatment (Therapeutic Education System [TES]) differed by participants' self-identified primary drug of abuse. METHODS: The all-comers sample of individuals entering outpatient psychosocial counseling treatment for substance abuse (N=497) cited cannabis (22.9%; n=114), stimulants (34.4%, n=171), opioids (21.7%, n=108), or alcohol (20.9%, n=104) as their primary substance of abuse. Participants were randomly assigned to receive treatment-as-usual (TAU) with or without TES substituted for approximately 2h of usual counseling. Multivariate analyses of abstinence outcomes examined interactions of treatment effects with primary substance. RESULTS: Adjusted odds ratios (AORs) demonstrated that primary stimulant users receiving TES were more likely to be abstinent in the final four weeks of treatment compared to stimulant users receiving TAU (AOR=3.59, 95% CI=1.25-10.27). Adjusted odds ratios for alcohol (AOR=3.15, 95% CI=0.85-11.65) and cannabis (AOR=2.64, 95% CI=0.73-9.52) also were of similar magnitude to stimulants but did not reach significance. Abstinence among primary opioid users was not improved by the TES intervention (AOR=0.35, 95% CI=0.09-1.47). CONCLUSIONS: This study supports the TES web-delivered treatment as a viable intervention for the majority of substance users entering outpatient counseling treatment, with demonstrated effectiveness among stimulant users and promising effects in alcohol and cannabis users but little or no effect in primary opioid users. Web-delivered treatments hold promise for expanding the availability of effective behavioral interventions for the majority of substance use disorders.

Clinically relevant characteristics associated with early treatment drug use versus abstinence.

BACKGROUND: This study describes early treatment drug use status and associated clinical characteristics in a diverse sample of patients entering outpatient substance abuse psychosocial counseling treatment. The goal is to more fully characterize those entering treatment with and without active use of their primary drug in order to better understand associated treatment needs and resilience factors. METHODS: We examined baseline data from a NIDA Clinical Trials Network (CTN) study (Web-delivery of Treatment for Substance Use) with an all-comers sample of patients (N = 494) entering 10 outpatient treatment centers. Patients were categorized according to self-identified primary drug of abuse (alcohol, cocaine/stimulants, opioids, marijuana) and by baseline drug use status (positive/negative) based on urine testing or self-reports of recent use (alcohol). Characteristics were examined by primary drug and early use status. RESULTS: Classified as drug-negative were 84%, 76%, 62%, and 33% of primary opioid, stimulant, alcohol, and marijuana users; respectively. Drug-positive versus -negative patients did not differ on demographics or rates of substance abuse/dependence diagnoses. However, those negative for active use had better physical and mental health profiles, were less likely to be using a secondary drug, and were more likely to be attending 12-step self-help meetings. CONCLUSIONS: Early treatment drug abstinence is common among substance users entering outpatient psychosocial counseling programs, regardless of primary abused drug. Abstinence (by negative UA) is associated with better health and mental health profiles, less secondary drug use, and more days of 12-step attendance. These data highlight differential treatment needs and resiliencies associated with early treatment drug use status. TRIAL REGISTRATION: NCT01104805.

Characteristics of an outpatient treatment sample by primary substance of abuse.

OBJECTIVE: This study examines sociodemographic and clinical characteristics, as a function of primary substance of abuse, among clients approached, screened, and assessed for eligibility in a 10-site effectiveness trial of a Web-based psychosocial intervention for substance use disorders. Consistent with the design of effectiveness trials, eligibility criteria were broad and exclusion criteria minimal; thus, the recruited sample may be viewed as relatively representative of patients seeking treatment throughout the United States. METHODS: χ tests for categorical variables and F tests for continuous variables were used to analyze demographic, substance use, physical and mental health, and sexual risk data collected at screening and baseline; pairwise comparisons between primary substance subgroups for baseline data were conducted if the test statistic P value was 0.01 or less. RESULTS: Few participants expressed disinterest in the study at screening because of the computer-assisted intervention. A diverse sample of substance users completed baseline and were enrolled: 22.9% marijuana; 21.7% opiates; 20.9% alcohol; 20.5% cocaine; and 13.9% stimulants users. Marijuana users demonstrated the greatest differences across primary substances: they were younger, less likely to be married or attend 12-step meetings, and more likely to be in treatment as a result of criminal justice involvement. All patients, even marijuana users, reported comparable rates of co-occurring mental health disorders and sexual risk and substantial rates of polysubstance use disorders. CONCLUSIONS: Primary substance of abuse may be a less important indicator of overall severity compared with co-occurring disorders and other factors common across treatment seekers, further demonstrating the need for integrated treatment services and care and comprehensive pretreatment assessment.

Demographic and clinical characteristics of middle-aged versus younger adults enrolled in a clinical trial of a web-delivered psychosocial treatment for substance use disorders.

OBJECTIVE: Evidence suggests that substance abuse is becoming more prevalent in middle-aged adults. The objective of this secondary analysis was to add to the growing empirical literature on the unique features of middle-aged substance abuse populations. METHODS: We descriptively compared baseline demographic and clinical characteristics of middle-aged (age 45-62 years, n = 111) and younger (age 18-44 years, n = 395) substance abusers entering a Web-based psychosocial treatment study as part of the National Institute on Drug Abuse Clinical Trials Network. RESULTS: A significantly greater percentage of middle-aged adults were nonwhite and had a marital status other than single/never married. There was a significant association between frequency of Internet use and the age group. Forty-six percent of middle-aged adults versus 21% of younger adults reported no Internet use in the prior 90 days. A significantly greater percentage of middle-aged adults used cocaine, and a significantly greater percentage of younger adults used marijuana and opioids. Clinically significant cognitive impairment (z < -1.0) was found for the average participant in both groups on logical association of familiar concepts. CONCLUSIONS: This secondary analysis of a National Institute on Drug Abuse Clinical Trials Network study provides additional information on the unique features of middle-aged substance abusers. Increasing knowledge of similarities and differences between younger and middle-aged substance abusers can help with potential age-specific substance abuse treatment planning.