It's not just Black and White: Identifying the combined influence of multi-level determinants of tobacco use among Black adolescents.

OBJECTIVE: Black individuals are disproportionately affected by tobacco-related illnesses. Although tobacco use is often initiated in adolescence and risk factors thereof originate from multiple domains of influence, investigations of tobacco use among Black adolescents seldom consider these multiple domains simultaneously. These examinations are needed to identify the influence of co-occurring risk factors on tobacco use and inform comprehensive tobacco prevention and treatment programs. Our study sought to identify the combined influence of factors across multiple domains on tobacco use among Black adolescents. METHOD: Participants were Non-Hispanic Black (N = 1,801) adolescent (age 12-17 years) respondents from Wave 1 of the Population Assessment of Tobacco and Health study. Latent class analysis identified unique response patterns to items assessing risk of tobacco use across sociocultural, environmental, psychological, and behavioral (e.g., alcohol use) domains. Subsequent logistic regressions compared the odds of ever and current tobacco use between the classes. RESULTS: Four latent classes were identified. According to item response probabilities they were named: Low Risk (LR: 36.5%), Low Psychological (LP: 19.0 %), High Psychological (HP: 30.4%) and High Social, Psychological, and Behavioral (HSPB: 14.1%) risk. The odds of ever and current tobacco use were highest among adolescents in the HSPB latent class compared to the other latent classes (odds ratio: 6.5 to 42.1). CONCLUSIONS: Adolescents with the highest odds of tobacco use endorse multiple risks including feeling distress, perceiving tobacco as beneficial for handling stress, and using substances, and may prioritize the management of negative emotions over perceived health consequences from tobacco use. Multi-level interventions that incorporate the development of coping strategies for effectively handling negative affect may prove highly effective in preventing tobacco use among Black adolescents.

Cannabis use and trauma-focused treatment for co-occurring posttraumatic stress disorder and substance use disorders: A meta-analysis of individual patient data.

High rates of cannabis use among people with posttraumatic stress disorder (PTSD) have raised questions about the efficacy of evidence-based PTSD treatments for individuals reporting cannabis use, particularly those with co-occurring alcohol or other substance use disorders (SUDs). Using a subset of four randomized clinical trials (RCTs) included in Project Harmony, an individual patient meta-analysis of 36 RCTs (total N = 4046) of treatments for co-occurring PTSD+SUD, we examined differences in trauma-focused (TF) and non-trauma-focused (non-TF) treatment outcomes for individuals who did and did not endorse baseline cannabis use (N = 410; 70% male; 33.2% endorsed cannabis use). Propensity score-weighted mixed effects modeling evaluated main and interactive effects of treatment assignment (TF versus non-TF) and baseline cannabis use (yes/no) on attendance rates and within-treatment changes in PTSD, alcohol, and non-cannabis drug use severity. Results revealed significant improvements across outcomes among participants in all conditions, with larger PTSD symptom reductions but lower attendance among individuals receiving TF versus non-TF treatment in both cannabis groups. Participants achieved similar reductions in alcohol and drug use across all conditions. TF outperformed non-TF treatments regardless of recent cannabis use, underscoring the importance of reducing barriers to accessing TF treatments for individuals reporting cannabis use.

Project harmony: A systematic review and network meta-analysis of psychotherapy and pharmacologic trials for comorbid posttraumatic stress, alcohol, and other drug use disorders.

We conducted a systematic review and network meta-analyses (NMA) of psychotherapy and pharmacologic treatments for individuals with co-occurring posttraumatic stress disorder (PTSD) and alcohol or other drug use disorder (AOD). A comprehensive search spanning 1995-2019 yielded a pool of 39 studies for systematic review, including 24 randomized controlled trials for the NMA. Study interventions were grouped by target of treatment (PTSD + AOD, PTSD-only, and AOD-only) and approach (psychotherapy or medication). Standardized mean differences (SMD) from the NMA yielded evidence that at the end of treatment, integrated, trauma-focused therapy for PTSD + AOD was more effective at reducing PTSD symptoms than integrated, non-trauma-focused therapy (SMD = -0.30), AOD-focused psychotherapy (SMD = -0.29), and other control psychotherapies (SMD = -0.43). End-of-treatment alcohol use severity was less for AOD medication compared to placebo medication (SMD = -0.36) and trauma-focused therapy for PTSD + placebo medication (SMD = -0.67), and less for trauma-focused psychotherapy + AOD medication compared to PTSD medication (SMD = -0.53), placebo medication (SMD = -0.50), and trauma-focused psychotherapy + placebo medication (SMD = -0.81). Key limitations include the small number of studies in the NMA for pharmacologic treatments and the lack of demographic diversity apparent in the existing literature. Findings suggest room for new studies that can address limitations in study sample composition, sample sizes, retention, and apply new techniques for conducting comparative effectiveness in PTSD + AOD treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The relative contribution of ethnic identity and ethnic discrimination on alcohol, tobacco, and other drug use disorders among Hispanic/Latin American individuals.

INTRODUCTION: Racial/ethnic discrimination and ethnic identity, the affiliation and connection to one's ethnic group, are important for understanding alcohol, tobacco, and drug use disorders (AUD, TUD, DUD, respectively) among Hispanic/Latin American individuals. Although discrimination is a well-recognized risk factor, the role of ethnic identity is less understood. Moreover, no study has examined which of these factors is more important for informing AUD, TUD, and DUD. This information is necessary for creating effective prevention and treatment programs tailored for Hispanic/Latin American people. Herein we examined the role and relative importance of racial/ethnic discrimination and Hispanic ethnic identity on past year AUD, TUD, and DUD. METHODS: Hispanic/Latin American participants of the National Epidemiologic Survey on Alcohol and Related Conditions-III constituted the sample for this cross-sectional secondary data analysis. Participants (N = 7037) were 39.93 years old on average (SD = 15.32). More than half were female (56.1 %) and had family incomes below the median household income in the United States (58.7 %). Most had national origins in North America (79.3 %), including US dependent territories and Mexico. Confirmatory factor analysis (CFA) verified the psychometric properties of the discrimination and Hispanic ethnic identity measures. Logistic regressions, supplemented with dominance analysis, estimated the role and relative contribution of discrimination and Hispanic ethnic identity on the probability of past year AUD, TUD, and DUD. RESULTS: The CFAs yielded adequate convergent validity and reliability for each construct. More racial/ethnic discrimination and a higher Hispanic ethnic identity related to a higher and lower probability of AUD, TUD, and DUD, respectively. The magnitude of the association between Hispanic ethnic identity and the probability of TUD exceeded that of racial/ethnic discrimination, but the converse was the case for AUD and DUD. CONCLUSIONS: Prevention and treatment programs for TUD that highlight the value of having a strong sense of self as a member of a Hispanic ethnic group, and that encourage the individual to explore their Hispanic ancestry may prove effective among Hispanic/Latin American individuals, particularly those who have experienced racial/ethnic discrimination. Programs for AUD and DUD tailored for Hispanic Latin/American adults should also incorporate coping strategies to address experiences with racial/ethnic discrimination.

Integrative data analysis of clinical trials network studies to examine the impact of psychosocial treatments for black people who use cocaine: Study protocol.

BACKGROUND: Cocaine overdose death rates among Black people are higher than that of any other racial/ethnic group, attributable to synthetic opioids in the cocaine supply. Understanding the most effective psychostimulant use treatment interventions for Black people is a high priority. While some interventions have proven effective for the general population, their comparative effectiveness among Black people remains unknown. To address this gap, our NIDA-funded Clinical Trials Network (CTN) study (0125), will use Integrative Data Analysis (IDA) to examine treatment effectiveness across 9 CTN studies. This manuscript describes the study protocol for CTN-0125. METHODS: Of the 59 completed randomized clinical trials in the CTN with available datasets, nine met our inclusion criteria: 1) behavioral intervention, 2) targeted cocaine use or use disorder, 3) included sub-samples of participants who self-identified as Black and 4) included outcome measures of cocaine and psychostimulant use and consequences. We aim to 1) estimate scale scores of cocaine use severity while considering study-level measurement non-invariance, 2) compare the effectiveness of psychosocial treatments for psychostimulant use, and 3) explore individual (e.g., concomitant opioid use, age, sex, employment, pre-treatment psychiatric status) and study-level moderators (e.g., attendance/retention) to evaluate subgroup differences in treatment effectiveness. CONCLUSION: The NIDA CTN provides a unique collection of studies that can offer insight into what interventions are most efficacious for Black people. Findings from our CTN-0125 study have the potential to substantially inform treatment approaches specifically designed for Black people who use psychostimulants.

Clinical and psychosocial outcomes by sex among individuals prescribed buprenorphine-naloxone (BUP-NX) or extended-release naltrexone (XR-NTX) for opioid use disorder.

BACKGROUND AND OBJECTIVES: Limited research has explored sex differences in opioid use disorder medication (MOUD) treatment outcomes. The purpose of this study was to examine MOUD initiation onto buprenorphine-naloxone (BUP-NX) versus extended-release naltrexone (XR-NTX) by sex, and sex differences in clinical and psychosocial outcomes. METHODS: Using data from a 24-week open-label comparative effectiveness trial of BUP-NX or XR-NTX, this study examined MOUD initiation (i.e., receiving a minimum one XR-NTX injection or first BUP-NX dose) and 24-week self-report outcomes. We used regression models to estimate the probability of MOUD initiation failure among the intent-to-treat sample (N = 570), and the main and interaction effects of sex on outcomes of interest among the subsample of participants who successfully initiated MOUD (n = 474). RESULTS: In the intent-to-treat sample, the odds of treatment initiation failure were not significantly different by sex. In the subsample of successful MOUD initiates, the effect of treatment on employment at week 24 was significantly moderated by sex (p = .003); odds of employment were not significantly different among males by MOUD type; females randomized to XR-NTX versus BUP-NX had 4.63 times greater odds of employment (p < .001). Males had significantly lower odds of past 30-day exchanging sex for drugs versus females (adjusted odds ratios [aOR] = 0.10, p = .004), controlling for treatment and baseline outcomes. DISCUSSION AND CONCLUSIONS: Further research should explore how to integrate employment support into OUD treatment to improve patient outcomes, particularly among women. SCIENTIFIC SIGNIFICANCE: The current study addressed gaps in the literature by examining sex differences in MOUD initiation and diverse treatment outcomes in a large, national sample.

Differences among factors associated with tobacco product use among Black and White adolescents: A cross-sectional analysis of wave one of the PATH study 2013-2014.

INTRODUCTION: Tobacco use remains a primary cause of health disparities between Black and White Americans. Current approaches have not improved tobacco-related racial health disparities. This study aimed to identify differences in factors associated with tobacco product use among Black and White adolescents. METHODS: This cross-sectional design used data from Wave One (2013-2014) of the Population Assessment of Tobacco and Health Study. Adolescents aged 12-17 years who identified as non-Hispanic Black or African American (n=1800) or non-Hispanic White (n=6495) were included. Primary outcomes were the ever use and current use of any tobacco products. Sociocultural, household environment, psychological, and behavioral factors were included. Logistic regressions, stratified by race, were used to determine significance. Dominance analysis was used to rank significant factors by their level of importance. RESULTS: Although there were many Black-White commonalities, there were also important differences. Black adolescents in the Northeast were more likely to have ever used tobacco compared to those in the South (OR=0.6; 95% CI: 0.6-0.7, p<0.001) and Midwest (OR=0.6; 95% CI: 0.5-0.7, p<0.001). White adolescents in the Northeast were less likely to use tobacco products than in other regions. Peer influences (OR=1.9; 95% CI: 1.1-3.2, p<0.05) were uniquely associated with ever use among Black adolescents. Access to tobacco in the home (OR=2.0; 95% CI: 1.4-3.0, p<0.001) and thinking that tobacco use would help reduce stress (OR=1.3; 95% CI: 1.1-1.6, p<0.01) were uniquely associated with current use among Black adolescents. CONCLUSIONS: There are significant Black-White differences in the factors associated with tobacco use. Factors uniquely associated with Black adolescent tobacco use should be considered in developing strategies to prevent adolescent tobacco use in Black communities.

Attitudes about Cigarette Smoking, Perceived Consequences of Smoking, and Seeking Assistance with Cessation among Black and White Cigarette Smokers: A Qualitative Study.

Introduction: Research has identified significant racial differences in cigarette smoking behavior, associated disease risk, likelihood of cessation, and mortality from smoking-related diseases. The current study assessed, via qualitative narrative analysis, racial differences in participants' motivations for smoking, perceived consequences of smoking, and how participants deal with cravings/withdrawal, as well as thoughts and feelings about quitting, seeking assistance with quitting, and the importance of social support in quitting. Methods: Semistructured interviews were conducted with 11 Black and 11 White cigarette smokers. Data were analyzed using the Thematic Networks Analysis process, which entailed coding the data and constructing thematic networks by identifying basic and organizing themes. Results: While there were no descriptive racial differences identified in participants' motivation for smoking or perceived consequences of smoking, differences existed between Blacks and Whites in terms of approaches in dealing with smoking cravings and withdrawal, perceived self-efficacy in controlling cravings, preferred methods of learning about and receiving smoking cessation assistance, and overall preference for receiving cessation-related support. Conclusions: Further investigation is needed into racial differences in methods to deal with cigarette cravings and withdrawal, preferences for receiving cessation information, and social support for cessation. This research will further develop our understanding of and ability to address factors underlying racial disparities in smoking behavior and cessation, as well as inform the development of future smoking cessation interventions.

Differential symptom weighting in estimating empirical thresholds for underlying PTSD severity: Toward a "platinum" standard for diagnosis?

OBJECTIVE: Symptom counts as the basis for Post-Traumatic Stress Disorder (PTSD) diagnoses in the DSM presume each symptom is equally reflective of underlying disorder severity. However, the "equal weight" assumption fails to fit PTSD symptom data when tested. The present study developed an enhanced PTSD diagnosis based on (a) a conventional PTSD diagnosis from a clinical interview and (b) an empirical classification of full PTSD that reflected the relative clinical weights of each symptom. METHOD: Baseline structured interview data from Project Harmony (N = 2658) was used. An enhanced diagnosis for full PTSD was estimated using an empirical threshold from moderated nonlinear factor analysis (MNLFA) latent PTSD scale scores, in combination with a full conventional PTSD diagnosis based on interview data. RESULTS: One in 4 patients in the sample had a PTSD diagnosis that was inconsistent with their empirical PTSD grouping, such that the enhanced diagnostic standard reduced the diagnostic discrepancy rate by 20%. Veterans, and in particular female Veterans, were at greatest odds for discrepancy between their underlying PTSD severity and DSM diagnosis. CONCLUSION: Psychometric methodologies that differentially weight symptoms can complement DSM criteria and may serve as a platform for symptom prioritization for diagnoses in future editions of DSM.

Project Harmony: A Meta-Analysis With Individual Patient Data on Behavioral and Pharmacologic Trials for Comorbid Posttraumatic Stress and Alcohol or Other Drug Use Disorders.

OBJECTIVE: Treatment efficacy for co-occurring posttraumatic stress disorder (PTSD) and substance use disorders is well established, yet direct evidence for comparative effectiveness across treatments is lacking. The present study compared the effectiveness of several behavioral and pharmacological therapies for adults with co-occurring PTSD and alcohol or other drug use disorders. METHODS: A systematic search of PsycINFO, MEDLINE, and ClinicalTrials.gov was conducted through December 2020 for trials targeting PTSD, alcohol or other drug use disorders, or both disorders (36 studies, N=4,046). Primary outcomes were severity scores for PTSD, alcohol use, and drug use, estimated via moderated nonlinear factor analysis. Propensity score weight-adjusted multilevel models were used. Model-predicted effect sizes were estimated for each treatment, and comparative effect sizes for each active arm against treatment as usual, at end of treatment and at 12-month follow-up. RESULTS: Compared with treatment as usual, combining trauma-focused therapy and pharmacotherapy for substance use disorders showed the largest comparative effect sizes for PTSD severity (d=-0.92, 95% CI=-1.57, -0.30) and alcohol use severity (d=-1.10, 95% CI=-1.54, -0.68) at end of treatment. Other treatments with large comparative effect sizes included pharmacotherapies for alcohol or other drug use disorders, trauma-focused integrated therapies, and trauma-focused nonintegrated therapies. Reductions in outcomes for PTSD symptoms and alcohol use were observed for nearly all treatments. CONCLUSIONS: The findings provide support for treating comorbid PTSD and substance use disorders using a variety of approaches, with alcohol-targeted pharmacotherapies and trauma-focused behavioral therapies as a combination of treatments that lead to early and sustained improvements in PTSD and alcohol use severity. Further treatment development is indicated for combining behavioral and pharmacological treatments for synergized impact and understanding the mechanisms of action and conditions under which each treatment type is optimized.

Measurement Error-Corrected Estimation of Clinically Significant Change Trajectories for Interventions Targeting Comorbid PTSD and Substance Use Disorders in OEF/OIF Veterans.

In randomized control trials (RCTs), a focus on average differences between treatment arms often limits our understanding of whether individuals show clinically significant improvement or deterioration. The present study examined differences in individual-level clinical significance trajectories between Concurrent Treatment of PTSD and Substance Use Disorders Using Prolonged Exposure (COPE) and Relapse Prevention (RP). Eighty-one treatment-seeking veterans with a comorbid PTSD/SUD diagnosis were randomized to COPE or RP; data from an additional n = 48 patients who did not meet criteria for both disorders was used to establish a normative threshold. A newly developed, modernized approach to the Jacobson and Truax (1991) clinically significant change framework, using (a) moderated nonlinear factor analysis (MNLFA) scale scoring and (b) measurement error-corrected multilevel modeling (MEC-MLM) was used; this approach was compared to other approaches using conventional total scores and/or assuming no measurement error. Using a conventional approach to estimating the Reliable Change Index (RCI) yielded no differences between COPE and RP in the percentage of patients achieving statistically significant improvement (SSI; 88.9% for both groups). However, under MNLFA/MEC-MLM, higher percentages of patients receiving COPE (75.0%) achieved SSI compared to RP (40.7%). Findings suggest that, even though COPE and RP appear to reduce the same number of PTSD symptoms, MNLFA scoring of outcome measures gives greater weight to interventions that target and reduce "hallmark" PTSD symptoms.

Predictors of therapeutic alliance, treatment feedback, and clinical outcomes among African American women in treatment for co-occurring PTSD and SUD.

INTRODUCTION: Black women are at heightened risk for trauma exposure, post-traumatic stress disorder (PTSD), and substance use disorders (SUDs), compared to White women and the general population. However, disparities in treatment engagement and retention persist, particularly for Black women with co-occurring PTSD+SUD. Although therapeutic alliance is an important predictor and mediator of treatment retention and outcomes, we know little about predictors of alliance and the mediating role of alliance for PTSD+SUD outcomes among Black women. METHODS: This study utilized data previously collected for the National Drug Abuse Treatment Clinical Trials Network (CTN) Women and Trauma Study. Participants were 88 Black/African American women (Mage = 41.90, SD = 7.72) participating in a clinical trial comparing Seeking Safety (a cognitive-behavioral intervention for PTSD+SUD) to Women's Health Education (control). This study includes participants from both arms. Measures included the Helping Alliance Questionnaire, Addiction Severity Index-Lite, and Clinician Administered PTSD Scale. Women in the intervention arm also completed the Seeking Safety Feedback Questionnaire. RESULTS: Stepwise, hierarchical linear regressions indicated that years of education and previous alcohol/drug treatment attempts significantly predicted early alliance in the second week of therapy (ß = 0.411, p = .021 and ß = 0.383, p = .011, respectively), but not late alliance in the last week of therapy (ps > .794). Greater education and more treatment attempts were associated with higher early alliance. Alliance did not mediate relationships between these significant predictors and treatment outcomes (e.g., attendance, post-treatment PTSD and SUD symptoms) or treatment feedback in the Seeking Safety group. CONCLUSIONS: Education and prior treatment attempts predicted early alliance among Black/African American women in PTSD+SUD group treatment, and higher education level was associated with poorer Seeking Safety feedback topic ratings. Educational level and treatment history should be considered during alliance building in therapeutic interventions with Black women. Clinicians may consider the integration of pre-treatment alliance-building strategies with Black female patients who have lower levels of education. This study provides insight into the relative impact of several important factors that influence early alliance among Black women with co-occurring PTSD+SUD.

Estimating posttraumatic stress disorder severity in the presence of differential item functioning across populations, comorbidities, and interview measures: Introduction to Project Harmony.

Multiple factor analytic and item response theory studies have shown that items/symptoms vary in their relative clinical weights in structured interview measures for posttraumatic stress disorder (PTSD). Despite these findings, the use of total scores, which treat symptoms as though they are equally weighted, predominates in practice, with the consequence of undermining the precision of clinical decision-making. We conducted an integrative data analysis (IDA) study to harmonize PTSD structured interview data (i.e., recoding of items to a common symptom metric) from 25 studies (total N = 2,568). We aimed to identify (a) measurement noninvariance/differential item functioning (MNI/DIF) across multiple populations, psychiatric comorbidities, and interview measures simultaneously and (b) differences in inferences regarding underlying PTSD severity between scale scores estimated using moderated nonlinear factor analysis (MNLFA) and a total score analog model (TSA). Several predictors of MNI/DIF impacted effect size differences in underlying severity across scale scoring methods. Notably, we observed MNI/DIF substantial enough to bias inferences on underlying PTSD severity for two groups: African Americans and incarcerated women. The findings highlight two issues raised elsewhere in the PTSD psychometrics literature: (a) bias in characterizing underlying PTSD severity and individual-level treatment outcomes when the psychometric model underlying total scores fails to fit the data and (b) higher latent severity scores, on average, when using DSM-5 (net of MNI/DIF) criteria, by which multiple factors (e.g., Criterion A discordance across DSM editions, changes to the number/type of symptom clusters, changes to the symptoms themselves) may have impacted severity scoring for some patients.

What's in a name? A data-driven method to identify optimal psychotherapy classifications to advance treatment research on co-occurring PTSD and substance use disorders.

Background/Objective: The present study leveraged the expertise of an international group of posttraumatic stress and substance use disorder (PTSD+SUD) intervention researchers to identify which methods of categorizing interventions which target SUD, PTSD, or PTSD+SUD for populations with both PTSD+SUD may be optimal for advancing future systematic reviews, meta-analyses, and comparative effectiveness studies which strive to compare effects across a broad variety of psychotherapy types. Method: A two-step process was used to evaluate the categorization terminology. First, we searched the literature for pre-existing categories of PTSD+SUD interventions from PTSD+SUD clinical trials, systematic and literature reviews. Then, we surveyed international trauma and substance use subject matter experts about their opinions on pre-existing intervention categorization and ideal categorization nomenclature. Results: Mixed method analyses revealed that a proliferation of PTSD+SUD treatment research over the last twenty years brought with it an abundance of ways to characterize the treatments that have been evaluated. Results from our survey of experts (N = 27) revealed that interventions for PTSD+SUD can be classified in many ways that appear to overlap highly with one another. Many experts (11/27; 41%) selected the categories of 'trauma-focused and non-trauma focused' as an optimal way to distinguish treatment types. Although several experts reinforced this point during the subsequent meeting, it became clear that no method of categorizing treatments is without flaws. Conclusion: One possible categorization (trauma-focused/non-trauma focused) was identified. Revised language and nomenclature for classification of PTSD+SUD treatments are needed in order to accommodate the needs of this advancing field.

Antecedentes/Objetivo: El presente estudio aprovechó la experticia de un grupo internacional de investigadores de intervención en trastorno de estrés postraumático y trastorno por uso de sustancias (TEPT+TUS) para identificar qué métodos de categorización de las intervenciones con foco en TUS, TEPT y TEPT+TUS para poblaciones con ambos TEPT+TUS serían óptimos para avanzar en futuras revisiones sistemáticas, meta-análisis y estudios comparativos de efectividad que busquen comparar efectos en una amplia variedad de tipos de psicoterapia.Método: Se utilizó un proceso de dos etapas para evaluar la terminología de categorización. Primero, buscamos en la literatura categorías pre-existentes de intervenciones para TEPT+TUS en ensayos clínicos de TEPT+TUS, revisiones sistemáticas y de la literatura. Después, entrevistamos a expertos internacionales en la materia de trauma y uso de sustancias sobre su opinión de la categorización pre-existente de las intervenciones y la nomenclatura ideal de categorización.Resultados: Métodos de análisis mixtos revelaron que una proliferación de investigación de tratamientos para TEPT+TUS en los últimos veinte años trajo consigo una abundancia de formas de categorizar los tratamientos que han sido evaluados. Los resultados de nuestra encuesta de expertos (N = 27) revelaron que las intervenciones para TEPT+TUS pueden ser clasificadas en muchas formas que parecen sobreponerse altamente entre sí. Muchos expertos (11/27; 41%) seleccionaron las categorías de 'centrados en el trauma y no centrados en el trauma' como una forma óptima de distinguir los tipos de tratamiento. Aunque varios expertos reforzaron este punto en la reunión subsecuente, quedó claro que ningún método de categorización de los tratamientos está libre de defectos.Conclusión: Se identificó una posible categorización (centrado en el trauma/No centrado en el trauma). Se necesita lenguaje y nomenclatura revisada para la clasificación de tratamientos de TEPT+TUS a fin de acomodar las necesidades de este campo en desarrollo.

Graded response item response theory in scaling suicidal thoughts and behaviors among trauma-exposed women with substance use disorders.

Objective: The co-occurrence of substance use disorders (SUD) and trauma-exposure is a risk factor for suicidal thoughts and behaviors (STB). However, traditional methods of measurement for suicidal thoughts and behaviors are limited by an overreliance on dichotomous (i.e., yes or no) and averaged/summed scale score measurements. Further, among trauma-exposed individuals with SUD, it remains unclear which specific demographic factors, types of SUDs, and trauma sequelae (e.g., posttraumatic stress disorder [PTSD] symptom clusters) may be associated with elevated STB. The present study utilized item response theory to (a) generate empirically derived STB severity scores and, (b) examine which demographic factors, SUD diagnoses, and DSM-IV PTSD symptom clusters are associated with suicidality in a trauma-exposed sample with SUDs. Method: Female trauma-exposed participants with SUDs (N = 544) were recruited from community substance use treatment facilities in the National Drug Abuse Treatment Clinical Trials Network (CTN). Clinician-administered interviews assessed STB, SUDs, and PTSD symptoms. Results: Results indicated that the unidimensional item response theory (IRT) model used to estimate latent STB severity scores fit well, with strong local reliability at higher levels of latent STB severity. Regression predictors of elevated STB severity included younger age, opioid dependence, and higher PTSD reexperiencing symptoms. Conclusions: Clinicians are advised to screen for and target opioid use disorders and reexperiencing symptoms when addressing suicidal thoughts and behavior in trauma-exposed individuals with SUDs. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Seeing the forest for the trees: Predicting attendance in trials for co-occurring PTSD and substance use disorders with a machine learning approach.

Objective: High dropout rates are common in randomized clinical trials (RCTs) for comorbid posttraumatic stress disorder and substance use disorders (PTSD + SUD). Optimizing attendance is a priority for PTSD + SUD treatment development, yet research has found few consistent associations to guide responsive strategies. In this study, we employed a data-driven pipeline for identifying salient and reliable predictors of attendance. Method: In a novel application of the iterative Random Forest algorithm (iRF), we investigated the association of individual level characteristics and session attendance in a completed RCT for PTSD + SUD (n = 70; women = 22 [31.4%]). iRF identified a group of potential predictor candidates for the total trial sessions attended; then, a Poisson regression model assessed the association between the iRF-identified factors and attendance. As a validation set, a parallel regression of significant predictors was conducted on a second, independent RCT for PTSD + SUD (n = 60; women = 48 [80%]). Results: Two testable hypotheses were derived from iRF's variable importance measures. Faster within-treatment improvement of PTSD symptoms was associated with greater session attendance with age moderating this relationship (p = .01): faster PTSD symptom improvement predicted fewer sessions attended among younger patients and more sessions among older patients. Full-time employment was also associated with fewer sessions attended (p = .02). In the validation set, the interaction between age and speed of PTSD improvement was significant (p = .05) and the employment association was not. Conclusions: Results demonstrate the potential of data-driven methods to identifying meaningful predictors as well as the dynamic contribution of symptom change during treatment to understanding RCT attendance. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Advancing Health Equity through Substance Use Research.

Several health inequities exist among racial/ethnic minoritized populations (REMPs) who use substances including disparities in use patterns, inequities in health and legal consequences of use, as well as in treatment access and effectiveness. To address these inequities, more research is needed to examine the associated factors and identify areas for improving treatment. Divided into three categories, this special issue includes papers that examine the social and contextual factors that are associated with substance use among REMPs, papers that consider the role of racism and discrimination on substance use, and papers that explore racial/ethnic differences in treatment access and outcomes. Recommendations for advancing health equity in substance use research are also included.

Evaluating treatments for posttraumatic stress disorder, alcohol and other drug use disorders using meta-analysis of individual patient data: Design and methodology of a virtual clinical trial.

This paper describes Project Harmony, a Virtual Clinical Trial (VCT) funded by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) to harmonize and analyze data from over 40 independent psychological, pharmacologic and/or combined pharmacological treatment studies for posttraumatic stress disorder and comorbid alcohol and other drug use disorders (PTSD/AOD). The study attends to three distinct analysis challenges: (1) variation in measurement of PTSD/AOD across studies, time, populations and reporters, (2) cross-study variation in treatment effect sizes and (3) non-randomized, cross-study variation in the classification of treatments (despite within-study randomization of treatment arms). To address these challenges, the study combines meta-analysis of individual patient data (MIPD), integrative data analysis (IDA) and propensity score weighting (PSW) to integrate raw data from these clinical trials. This protocol shows how this VCT analytic framework was used to (1) develop commensurate scale scores of PTSD and AOD severity when measures vary across studies, (2) compare the efficacy of evidence-based treatment models for PTSD/AOD, (3) test for potential mediators of treatment effects on AOD and PTSD across treatment models, and (4) explore individual- and study-level moderators to inform for whom each of the treatment models works best. The advantages of the general VCT approach are juxtaposed against the limitations of single randomized controlled trials and conventional meta-analysis.

A unifying translational framework to advance treatment research for comorbid PTSD and substance use disorders.

We provide a unifying translational framework that can be used to synthesize extant lines of human laboratory research in four neurofunctional domains that underlie the co-occurrence of posttraumatic stress and substance use disorders (PTSD+SUD). We draw upon the Alcohol and Addiction Research Domain Criteria (AARDOC) to include executive functioning, negative emotionality, reward, and added social cognition from the National Institute of Mental Health (NIMH) Research Domain Criteria into our framework. We review research findings across each of the four domains, emphasizing human experimental studies in PTSD, SUD, and PTSD+SUD for each domain. We also discuss the implications of research findings for treatment development by considering new ways of conceptualizing risk factors and outcomes at the level of the individual patient, which will enhance treatment matching and advance innovations in intervention.

Putting the Patient Back in Clinical Significance: Moderated Nonlinear Factor Analysis for Estimating Clinically Significant Change in Treatment for Posttraumatic Stress Disorder.

The present study introduced a modernized approach to Jacobson and Truax's (1991) methods of estimating treatment effects on individual-level (a) movement from the clinical to the normative range and (b) reliable change on posttraumatic stress disorder (PTSD) severity. Participants were 450 trauma-exposed women (M age = 39.2 years, SD = 8.9, range: 18-65 years) who presented to seven geographically diverse community mental health and substance use treatment centers. Data from 53 of these women, none of whom met the criteria for full or subthreshold PTSD, were used to establish the normative range. Using moderated nonlinear factor analysis (MNLFA) scale scoring, which weights symptoms by their clinical relevance, a significantly larger proportion of participants moved into the normative range for PTSD severity scores and/or exhibited reliable changes after treatment compared to the same individuals' movement when using symptom counts. Further, approximately 24% of the participants showed discrepant judgments on reliable change indices (RCI) between MNLFA scores and symptom counts, likely due to the false assumption that the standard error of measurement is equal for all levels of underlying PTSD severity when estimating RCIs with symptom counts. An MNLFA approach to estimating underlying PTSD severity can provide clinically meaningful information about individual-level change without the de facto assumption that PTSD symptoms have equivalent weight. Study implications are discussed with regard to a joint emphasis on (a) measurement models that highlight differential symptom weighting and (b) treatment-arm differences in individual-level outcomes rather than the current overemphasis of treatment-arm differences on group-averaged trajectories.