A computational modelling tool for prediction of head reshaping following endoscopic strip craniectomy and helmet therapy for the treatment of scaphocephaly.

BACKGROUND: Endoscopic strip craniectomy followed by helmet therapy (ESCH) is a minimally invasive approach for correcting sagittal craniosynostosis. The treatment involves a patient-specific helmet designed to facilitate lateral growth while constraining sagittal expansion. In this study, finite element modelling was used to predict post-treatment head reshaping, improving our comprehension of the necessary helmet therapy duration. METHOD: Six patients (aged 11 weeks to 9 months) who underwent ESCH at Connecticut Children's Hospital were enrolled in this study. Day-1 post-operative 3D scans were used to create skin, skull, and intracranial volume models. Patient-specific helmet models, incorporating areas for growth, were designed based on post-operative imaging. Brain growth was simulated through thermal expansion, and treatments were modelled according to post-operative Imaging available. Mechanical testing and finite element modelling were combined to determine patient-specific mechanical properties from bone samples collected from surgery. Validation compared simulated end-of-treatment skin surfaces with optical scans in terms of shape matching and cranial index estimation. RESULTS: Comparison between the simulated post-treatment head shape and optical scans showed that on average 97.3 ± 2.1 % of surface data points were within a distance range of -3 to 3 mm. The cranial index was also accurately predicted (r = 0.91). CONCLUSIONS: In conclusion, finite element models effectively predicted the ESCH cranial remodeling outcomes up to 8 months postoperatively. This computational tool offers valuable insights to guide and refine helmet treatment duration. This study also incorporated patient-specific material properties, enhancing the accuracy of the modeling approach.

Development and initial testing of mindful journey: a digital mindfulness-based intervention for promoting recovery from Substance use disorder.

BACKGROUND/OBJECTIVES: There is a great unmet need for accessible adjunctive interventions to promote long-term recovery from substance use disorder (SUD). This study aimed to iteratively develop and test the initial feasibility and acceptability of Mindful Journey, a novel digital mindfulness-based intervention for promoting recovery among individuals with SUD. PATIENTS/MATERIALS: Ten adults receiving outpatient treatment for SUD. METHODS: Phase 1 (n = 5) involved developing and testing a single introductory digital lesson. Phase 2 included a separate sample (n = 5) and involved testing all 15 digital lessons (each 30- to 45-minutes) over a 6-week period, while also receiving weekly brief phone coaching for motivational/technical support. RESULTS: Across both phases, quantitative ratings (rated on a 5-point scale) were all at or above a 4 (corresponding with 'agree') for key acceptability dimensions, such as usability, understandability, appeal of visual content, how engaging the content was, and helpfulness for recovery. Additionally, in both phases, qualitative feedback indicated that participants particularly appreciated the BOAT (Breath, Observe, Accept, Take a Moment) tool for breaking down mindfulness into steps. Qualitative feedback was used to iteratively refine the intervention. For example, based on feedback, we added a second core mindfulness tool, the SOAK (Stop, Observe, Appreciate, Keep Curious), and we added more example clients and group therapy videos. In Phase 2, 4 out of 5 participants completed all 15 lessons, providing initial evidence of feasibility. Participants reported that the phone coaching motivated them to use the app. The final version of Mindful Journey was a smartphone app with additional features, including brief on-the-go audio exercises and a library of mindfulness practices. Although, participants used these additional features infrequently. CONCLUSIONS: Based on promising initial findings, future acceptability and feasibility testing in a larger sample is warranted. Future versions might include push notifications to facilitate engagement in the additional app features.

Mapping multiscale breeding bird species distributions across the United States and evaluating their conservation applications.

Species distribution models are vital to management decisions that require understanding habitat use patterns, particularly for species of conservation concern. However, the production of distribution maps for individual species is often hampered by data scarcity, and existing species maps are rarely spatially validated due to limited occurrence data. Furthermore, community-level maps based on stacked species distribution models lack important community assemblage information (e.g., competitive exclusion) relevant to conservation. Thus, multispecies, guild, or community models are often used in conservation practice instead. To address these limitations, we aimed to generate fine-scale, spatially continuous, nationwide maps for species represented in the North American Breeding Bird Survey (BBS) between 1992 and 2019. We developed ensemble models for each species at three spatial resolutions-0.5, 2.5, and 5 km-across the conterminous United States. We also compared species richness patterns from stacked single-species models with those of 19 functional guilds developed using the same data to assess the similarity between predictions. We successfully modeled 192 bird species at 5-km resolution, 160 species at 2.5-km resolution, and 80 species at 0.5-km resolution. However, the species we could model represent only 28%-56% of species found in the conterminous US BBSs across resolutions owing to data limitations. We found that stacked maps and guild maps generally had high correlations across resolutions (median = 84%), but spatial agreement varied regionally by resolution and was most pronounced between the East and West at the 5-km resolution. The spatial differences between our stacked maps and guild maps illustrate the importance of spatial validation in conservation planning. Overall, our species maps are useful for single-species conservation and can support fine-scale decision-making across the United States and support community-level conservation when used in tandem with guild maps. However, there remain data scarcity issues for many species of conservation concern when using the BBS for single-species models.

Randomized trial of mindfulness- and reappraisal-based regulation of craving training among daily cigarette smokers.

OBJECTIVE: Craving predicts smoking, yet existing interventions may not adequately target regulation of craving. We evaluated two versions of regulation of craving-training (ROC-T), a computerized intervention with intensive practice of strategies when exposed to smoking-related images. METHOD: Ninety-two nicotine-dependent daily smokers were randomized to mindfulness-based therapy (MBT) ROC-T focusing on mindful acceptance, and cognitive behavioral therapy (CBT) ROC-T focusing on reappraisal or no intervention control. The ROC task was administered pre- and postintervention to assess changes in cue-induced craving and mindfulness- and reappraisal-based regulation of craving. RESULTS: MBT and CBT-versus control-showed significantly greater reductions in smoking during the intervention phase (baseline to Week 4), corresponding to large (d = -1.08, 95% CI [-1.64, -0.52]) and medium-to-large effect sizes (d = -0.69, 95% CI [-1.22, -0.15]), respectively. During follow-up (Week 4-16), CBT showed significant increases in smoking, whereas MBT and control did not. For the entire study (baseline to Week 16), MBT showed significantly greater reductions in smoking compared to control (d = -1.6, 95% CI [-2.56, -0.66]) but CBT was not significantly different than control (d = -0.82, 95% CI [-1.77, 0.13]). There were no effects on smoking when directly comparing MBT and CBT. Quit rates were low across the sample, with no difference among conditions. MBT and CBT-versus control-significantly reduced cue-induced craving. CBT (but not MBT)-versus control-significantly improved reappraisal-based regulation of craving. Both MBT and CBT-versus control-significantly improved mindfulness-based regulation of craving. CONCLUSIONS: MBT- and CBT-ROC-T may reduce cue-induced craving and smoking, and MBT may be more durable than CBT. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Modafinil Does Not Reduce Cocaine Use in Methadone-Maintained Individuals.

Introduction: There are no approved medications for the treatment of cocaine use disorder (CUD). Modafinil, a cognitive-enhancer with weak stimulant-like effects, has shown promise in initial studies as a treatment for CUD. Its potential efficacy has not been examined in individuals dually dependent on cocaine and opioids. Methods: This study examined the efficacy of modafinil, in combination with contingency management (CM), for reducing cocaine and opioid use and improving cognitive function in methadone-stabilized individuals with opioid and cocaine dependence. We conducted a 17-week, double-blind, randomized controlled trial in which participants were randomized to one of four conditions: 1) modafinil + CM; 2) modafinil + yoked-control (YC); 3) placebo +CM; or 4) placebo + YC. Additionally, all subjects received platform treatments of cognitive behavioral therapy (CBT) and methadone. While the original planned sample size was N=160, a total of 91 participants were randomized. The two primary cocaine use outcomes were percentage of urine specimens positive for cocaine and percent of days of self-reported abstinence from cocaine during treatment. Cognitive function, opioid use, and secondary cocaine use outcomes were also considered. Results: Modafinil was well-tolerated with minimal reports of adverse effects. Modafinil was no more effective than placebo in reducing cocaine or opioid use or improving cognitive performance. Conclusions: In the context of a trial with robust control conditions and platform treatments, findings did not provide support for the efficacy of modafinil treatment for the treatment of CUD in methadone-stabilized individuals with dual opioid and cocaine dependence.

Racial and ethnic differences in alcohol, cannabis, and illicit substance use treatment: a systematic review and narrative synthesis of studies done in the USA.

Reports from uncontrolled trials and surveys suggest that there are disparities in substance-use outcomes for minoritised racial and ethnic populations, yet few of these disparities have emerged from randomised clinical trials (RCTs). We conducted a systematic review of RCTs published in English of Black or Latinx adults with any non-nicotine substance use disorder that reported rates of treatment initiation, engagement, or substance-use outcome by race or ethnicity. Study quality was assessed by the Joanna Briggs Institute appraisal tool and a Yale internally validated quality assessment. Of the 5204 studies, 50 RCTs met the inclusion criteria, all done in the USA, 24 compared treatment initiation, engagement, or outcome across races or ethnicities and 26 compared these same factors within a race. Few RCTs have reported outcomes specifically for Black or Latinx populations, with nine reporting significant differences by race or ethnicity. Significant differences were found in all studies that evaluated the baseline differences in social determinants. This Review explains the need for optimisation of RCTs to inform the design, delivery, and dissemination of treatment to historically excluded communities.

Computer-based training for cognitive behavioral therapy for Spanish-speaking substance users: adaptation and satisfaction.

There are few available culturally and linguistically adapted behavioral health interventions for substance use among Spanish-speaking adults. The authors describe the cultural adaptation of an innovative computer-based training for cognitive behavioral therapy program (CBT4CBT). Based in cognitive-behavioral skills training, CBT4CBT utilizes a telenovela to teach monolingual Spanish-speaking adults who have migrated to the United States to recognize triggers; avoid these situations; and cope more effectively with the consequences of substance use. Participants endorsed high levels of satisfaction with the program content and found the material to be easy to understand and relevant to their life experiences.

Mapping breeding bird species richness at management-relevant resolutions across the United States.

Human activities alter ecosystems everywhere, causing rapid biodiversity loss and biotic homogenization. These losses necessitate coordinated conservation actions guided by biodiversity and species distribution spatial data that cover large areas yet have fine-enough resolution to be management-relevant (i.e., ≤5 km). However, most biodiversity products are too coarse for management or are only available for small areas. Furthermore, many maps generated for biodiversity assessment and conservation do not explicitly quantify the inherent tradeoff between resolution and accuracy when predicting biodiversity patterns. Our goals were to generate predictive models of overall breeding bird species richness and species richness of different guilds based on nine functional or life-history-based traits across the conterminous United States at three resolutions (0.5, 2.5, and 5 km) and quantify the tradeoff between resolution and accuracy and, hence, relevance for management of the resulting biodiversity maps. We summarized 18 years of North American Breeding Bird Survey data (1992-2019) and modeled species richness using random forests, including 66 predictor variables (describing climate, vegetation, geomorphology, and anthropogenic conditions), 20 of which we newly derived. Among the three spatial resolutions, the percentage variance explained ranged from 27% to 60% (median = 54%; mean = 57%) for overall species richness and 12% to 87% (median = 61%; mean = 58%) for our different guilds. Overall species richness and guild-specific species richness were best explained at 5-km resolution using ~24 predictor variables based on percentage variance explained, symmetric mean absolute percentage error, and root mean square error values. However, our 2.5-km-resolution maps were almost as accurate and provided more spatially detailed information, which is why we recommend them for most management applications. Our results represent the first consistent, occurrence-based, and nationwide maps of breeding bird richness with a thorough accuracy assessment that are also spatially detailed enough to inform local management decisions. More broadly, our findings highlight the importance of explicitly considering tradeoffs between resolution and accuracy to create management-relevant biodiversity products for large areas.

Religiosity and Spirituality in Latinx Individuals with Substance Use Disorders: Association with Treatment Outcomes in a Randomized Clinical Trial.

Although many studies have examined religiosity as a protective factor for substance use, few have considered its relationship to treatment outcomes among Latinx adults. Using data from 89 individuals participating in a randomized clinical trial evaluating a culturally adapted Spanish-language version of web-based cognitive behavioral therapy (CBT4CBT-Spanish) for substance use, we evaluated the relationship between religiosity, as measured by the Religious Background and Behavior questionnaire, and treatment outcomes. Overall, there were few significant correlations between religiosity scores and treatment outcomes. Past-year religiosity was positively correlated with one measure of abstinence for those randomized to CBT4CBT-Spanish, but this did not persist during a six-month follow-up period. Findings suggest that religiosity may be associated with short-term abstinence outcomes among Latinx adults receiving a culturally adapted cognitive behavioral therapy treatment. However, additional research is needed with larger and more heterogenous Latinx populations.

Identification and Validation of Distinct Latent Neurodevelopmental Profiles in the Adolescent Brain and Cognitive Development Study.

BACKGROUND: Regardless of the precise mechanism, all neurodevelopmental models of risk assume that, at the population level, there exist subgroups of individuals that share similar patterns of neural function and development-and that these subgroups somehow relate to psychiatric risk. However, the existence of multiple neurodevelopmental subgroups at the population level has not been assessed previously. METHODS: In the current study, cross-validated latent profile analysis was used to test for the presence of empirically derived, brain-based developmental subgroups using functional magnetic resonance imaging data from 6758 individuals (49.4% female; mean age = 9.94 years) in the Adolescent Brain and Cognitive Development (ABCD) study wave 1 release. Data were randomly split into training and testing samples. RESULTS: Analyses in the training sample (n = 3379) identified a seven-profile solution (entropy = 0.880) that was replicated in the held-out testing data (n = 3379, entropy = 0.890). Identified subgroups included a moderate group (66.8%), high reward (4.3%) and low reward (4.0%) groups, high inhibition (9.8%) and low inhibition (6.7%) groups, and high emotion regulation (4.0%) and low emotion regulation (4.3%) groups. Relative to the moderate group, other subgroups were characterized by more males (χ2 = 24.10, p = .0005), higher proportions of individuals from lower-income households (χ2 = 122.17, p < .0001), poorer cognitive performance (ps < .0001), more screen time (F = 6.80, p < .0001), heightened impulsivity (ps < .006), and higher rates of neurodevelopmental disorders (χ2 = 26.20, p = .0002). CONCLUSIONS: These data demonstrate the existence of multiple, distinct neurodevelopmental subgroups at the population level. They indicate that these empirically derived, brain-based developmental profiles relate to differences in clinical features, even at a young age, and prior to the peak period of risk for the development of psychopathology.

A pilot randomized trial of CBT4CBT for women in residential treatment for substance use disorders.

INTRODUCTION: Despite the effectiveness of cognitive behavioral therapy (CBT) for treatment of substance use disorder, dissemination to clinical practice is limited due to a range of barriers (e.g., time, cost). Computer-based training for cognitive behavioral therapy (CBT4CBT) offers a feasible and cost-effective opportunity to improve the quality and reach of SUD treatment. Research to date has supported the effectiveness of CBT4CBT in outpatient settings; however, research has not yet tested it in residential treatment. METHODS: The current study evaluated the feasibility of CBT4CBT as an adjunct to residential treatment in a sample of women with SUDs using a two-arm pilot RCT comparing women randomized to either standard residential treatment plus access to the CBT4CBT program (N = 34) or residential treatment alone (TAU; N = 29). Assessments occurred at baseline, discharge from residential care, and at 4- and 12-weeks post-discharge. The study compared the two groups over the 12-week follow-up period on relapse to any substance (Y/N), relapse to primary substance (Y/N), and days of use using chi-square for categorical and t-tests for continuous measures. The study team also performed a Kaplan-Meier analysis to compare the two groups on time to relapse. RESULTS: Demographically, the sample was predominantly African American (79.4%), with a mean age of 41.2 years (SD = 12.1). Although the current study was not powered for statistical significance, findings were in the predicted direction, with women in the CBT4CBT group reporting lower likelihood of relapse, longer time to relapse, and fewer days of substance use in the follow-up period compared to women in TAU. CONCLUSIONS: This study expands the current literature supporting the use of CBT4CBT in outpatient settings. While a fully powered trial should confirm our findings, the current study provides benchmark data on the use of CBT4CBT in residential treatment for women with SUDs.

Systematic prioritization protocol applied to wolverine habitat connectivity.

I describe a prioritization protocol for future wolverine habitat connectivity conservation using integer linear programming. Conservation prioritization has broad applications across scales, systems, and species. However, the process of preparing, generating, and analyzing the necessary data can be complex. Thus, this protocol details the process from data acquisition to implementation. For complete details on the use and execution of this protocol, please refer to Carroll et al. (2020) and Carroll et al. (2021).

Detecting change in psychiatric functioning in clinical trials for cocaine use disorder: sensitivity of the Addiction Severity Index and Brief Symptom Inventory.

BACKGROUND: Assessment instruments commonly used in clinical trials to measure functional outcomes in substance users may lack sensitivity to detect change during treatment, potentially limiting findings regarding benefits of reduced drug use. This study evaluated the sensitivity of the Addiction Severity Index (ASI) to detect change in psychiatric functioning among cocaine users. METHODS: Data were pooled across five clinical trials for cocaine use disorder (N = 492) that included a 12-week treatment period and 6-month follow-up. Within-person cohen's d' was used to evaluate effect size of change on the Psychiatric Composite Score of the ASI (ASI-Psych) and Global Severity Index (GSI) of the Brief Symptom Inventory, as well as cocaine use. RESULTS: Effect sizes were larger for GSI than ASI-Psych from baseline to week 12 (GSI d' = 0.59; ASI-Psych d' = 0.16), and 6-month follow-up (GSI d' = 0.48; ASI-Psych d' = 0.10). For those with non-zero ASI-Psych at baseline (n = 252), medium effect sizes were found over the 12-week period (d' = 0.53) and 6-month follow-up (d' = 0.47). Effect sizes for change in days of cocaine use were most similar to GSI in either sample. CONCLUSIONS: The ASI Psychiatric Composite Score may have limited sensitivity to detect change in psychiatric functioning among clinical trial participants who reduce cocaine use. It may be useful for detecting change amongst those reporting some psychiatric problems at the start of treatment. Future research should consider an instrument's sensitivity to change when assessing the potential functional benefits of reducing cocaine use.

The profound heterogeneity of substance use disorders: Implications for treatment development.

A single treatment approach will never be sufficient to address the diversity of individuals with substance use disorders (SUDs). SUDs have historically defied definition through simple characterizations or models, and no single characterization has led to the development of broadly effective interventions. The range of dimensions of heterogeneity among individuals with SUDs, including severity, type of substance, and issues that frequently co-occur underscore that highly tailored approaches are needed. To approach personalized medicine for individuals with SUDs; two major developments are needed. First, given the diversity of individuals with SUDs, multivariate phenotyping approaches are needed to identify the particular features driving addictive processes in any individual. Second, a wider range of interventions that directly target core mechanisms of addiction and the problems that co-occur with them are needed. As clinicians cannot be expected to master the full range of interventions that may target these core processes, developing these so that they can be delivered easily, flexibly, and systematically via technology will facilitate our ability to truly tailor interventions to this highly complex and challenging population. One such technology-delivered intervention, computer-based training for cognitive behavioral therapy (CBT4CBT), is used as an example to illustrate a vision for the future of highly-tailored interventions for individuals with SUDs.

Perceptual Access Reasoning (PAR) in Developing a Representational Theory of Mind.

An important part of children's social and cognitive development is their understanding that people are psychological beings with internal, mental states including desire, intention, perception, and belief. A full understanding of people as psychological beings requires a representational theory of mind (ToM), which is an understanding that mental states can faithfully represent reality, or misrepresent reality. For the last 35 years, researchers have relied on false-belief tasks as the gold standard to test children's understanding that beliefs can misrepresent reality. In false-belief tasks, children are asked to reason about the behavior of agents who have false beliefs about situations. Although a large body of evidence indicates that most children pass false-belief tasks by the end of the preschool years, the evidence we present in this monograph suggests that most children do not understand false beliefs or, surprisingly, even true beliefs until middle childhood. We argue that young children pass false-belief tasks without understanding false beliefs by using perceptual access reasoning (PAR). With PAR, children understand that seeing leads to knowing in the moment, but not that knowing also arises from thinking or persists as memory and belief after the situation changes. By the same token, PAR leads children to fail true-belief tasks. PAR theory can account for performance on other traditional tests of representational ToM and related tasks, and can account for the factors that have been found to correlate with or affect both true- and false-belief performance. The theory provides a new laboratory measure which we label the belief understanding scale (BUS). This scale can distinguish between a child who is operating with PAR versus a child who is understanding beliefs. This scale provides a method needed to allow the study of the development of representational ToM. In this monograph, we report the outcome of the tests that we have conducted of predictions generated by PAR theory. The findings demonstrated signature PAR limitations in reasoning about the mind during the ages when children are hypothesized to be using PAR. In Chapter II, secondary analyses of the published true-belief literature revealed that children failed several types of true-belief tasks. Chapters III through IX describe new empirical data collected across multiple studies between 2003 and 2014 from 580 children aged 4-7 years, as well as from a small sample of 14 adults. Participants were recruited from the Phoenix, Arizona metropolitan area. All participants were native English-speakers. Children were recruited from university-sponsored and community preschools and daycare centers, and from hospital maternity wards. Adults were university students who participated to partially fulfill course requirements for research participation. Sociometric data were collected only in Chapter IX, and are fully reported there. In Chapter III, minor alterations in task procedures produced wide variations in children's performance in 3-option false-belief tasks. In Chapter IV, we report findings which show that the developmental lag between children's understanding ignorance and understanding false belief is longer than the lag reported in previous studies. In Chapter V, children did not distinguish between agents who have false beliefs versus agents who have no beliefs. In Chapter VI, findings showed that children found it no easier to reason about true beliefs than to reason about false beliefs. In Chapter VII, when children were asked to justify their correct answers in false-belief tasks, they did not reference agents' false beliefs. Similarly, in Chapter VIII, when children were asked to explain agents' actions in false-belief tasks, they did not reference agents' false beliefs. In Chapter IX, children who were identified as using PAR differed from children who understood beliefs along three dimensions-in levels of social development, inhibitory control, and kindergarten adjustment. Although the findings need replication and additional studies of alternative interpretations, the collection of results reported in this monograph challenges the prevailing view that representational ToM is in place by the end of the preschool years. Furthermore, the pattern of findings is consistent with the proposal that PAR is the developmental precursor of representational ToM. The current findings also raise questions about claims that infants and toddlers demonstrate ToM-related abilities, and that representational ToM is innate.

A framework for collaborative wolverine connectivity conservation.

Maintaining connectivity between high-elevation public lands is important for wolverines and other species of conservation concern. This work represents the first effort to prioritize wolverine connectivity under future climate conditions using a systematic conservation planning framework. We optimized 10, 15, 20, and 50% of habitat features for wolverines using integer linear programming. We identified 369 privately owned areas in the 10% solution, 572 in the 15% solution, 822 in the 20% solution, and 3,996 in the 50% solution where voluntary landowner easements would improve the long-term landscape functionality for wolverine connectivity. The median estimated easements ranged from $8,762 to $12,220 across the four solutions (total costs $14,874,371 to $196,346,714). Overall, this effort demonstrates the utility of optimization problems for conserving connectivity, provides a proactive tool to engage potential collaborators, identifies easements that will likely protect various subalpine species, and offers a framework for the conservation of additional species.

A feasibility study providing substance use treatment in the Black church.

BACKGROUND: Black adults with substance use disorders (SUDs) experience health care disparities, including access to and retention in treatment. The Black church is a trusted institution in the Black community and could be a novel setting for providing SUD treatment. METHOD: We conducted a nonrandomized feasibility study evaluating (1) whether it was possible to conduct a clinical trial of SUD treatment in this setting, (2) whether an adequate number of individuals with SUDs would participate in technology-based treatment in this setting, and (3) whether an adequate number of individuals would be retained in this setting. We evaluated computer-based training for cognitive behavioral therapy (CBT4CBT), with modifications that the church-based health advisors (CHAs), who delivered the intervention within the church, made. RESULTS: Participants were 40 Black adults, all of whom met DSM-5 criteria for a current SUD, (55% severe). The mean number of sessions completed was 6.8 and 31 completed all 7 sessions of CBT4CBT. Both self-reports and weekly urine toxicology screens indicated reduction in substance use over time. CONCLUSION: We demonstrated feasibility, as we were able to (1) collect weekly data and protect participant confidentiality, (2) recruit an adequate number of individuals with SUD, with (3) high uptake and retention of an adapted CBT4CBT in the Black church. If demonstrated to be effective in a future randomized clinical trial, delivery of technology-based treatments in the Black church may prove a promising, easily disseminable strategy to provide evidence-based interventions to an underserved and undertreated population.

Cognitive-Behavioral Interventions Targeting Alcohol or Other Drug Use and Co-Occurring Mental Health Disorders: A Meta-Analysis.

AIMS: This meta-analysis reviewed 15 clinical trials (18 study sites/arms), examining the efficacy of an integrated cognitive-behavioral intervention (CBI) delivered to individuals with an alcohol or other drug use disorder and a co-occurring mental health disorder (AOD/MHD). Outcomes were alcohol or other drug use and mental health symptoms at post-treatment through follow-up. METHODS: The inverse-variance weighted effect size was calculated for each study and pooled under random effects assumptions. RESULTS: Integrated CBI showed a small effect size for AOD (g = 0.188, P = 0.061; I2 = 86%, τ2 = 0.126, k = 18) and MHD (g = 0.169, P = 0.024; I2 = 58%, τ2 = 0.052, k = 18) outcomes, although only MHD outcomes were statistically significant. Analysis by subgroup suggested that effect magnitude varied by type of contrast condition (integrated CBI + usual care vs. usual care only; integrated CBI vs. a single-disorder intervention), follow-up time point (post-treatment vs. 3-6 months) and primary AOD/MHD diagnosis, although these sub-groups often contained significant residual heterogeneity. In a series of mixed effects, meta-regression models, demographic factors were non-significant predictors of between-study heterogeneity. For AOD outcomes, greater effects were observed in higher quality studies, but study quality was not related to effect size variability for MHD outcomes. CONCLUSIONS: The current meta-analysis shows a small and variable effect for integrated CBI with the most promising effect sizes observed for integrated CBI compared with a single disorder intervention (typically an AOD-only intervention) for follow-up outcomes, and for interventions targeting alcohol use and/or post-traumatic stress disorder. Given the clinical and methodological variability within the sample, results should be considered a preliminary, but important step forward in our understanding of treatment for co-occurring AOD/MHD.