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Purpose: Given the health consequences, perinatal substance use is a significant public health concern, especially as substance use rates increase among women; ongoing data regarding the rates of substance use across trimesters of pregnancy is needed. Methods: The present study utilized cross-sectional population-based data from the National Survey of Drug Use and Health (NSDUH) between 2009 and 2019. We aimed to explore both licit and illicit substance use assessed within each trimester among women endorsing past-year substance use. The NSDUH sample included 8,530 pregnant women. Results: Perinatal substance use was less prevalent among women in later trimesters; however, past-month substance use was observed for all substances across trimesters. The prevalence of past-month licit substance use among pregnant women ranged from 5.77 to 22.50% and past-month illicit substance use ranged from 4.67 to 14.81%. In the second trimester, lower odds of past-month substance use were observed across tobacco, alcohol, and marijuana (odds ratios [ORs] ranging from 0.29 to 0.47), when compared to the first trimester. A similar lower rate of past-month substance use was observed in the third trimester compared to the first trimester, across tobacco, alcohol, and marijuana use, as well as cocaine, prescription pain medication, and tranquilizer use (ORs ranging from 0.02 to 0.42). The likelihood of polysubstance use was lower among women in the second and third trimesters compared to the first trimester (ORs ranging from 0.09 to 0.46). Conclusion: Findings indicate that a minority of women continue to use substances across all trimesters. This is especially true among women using licit substances and marijuana. These results highlight the need for improved interventions and improved access to treatment for these women. [ABSTRACT FROM AUTHOR]

Background: Accurate clinical prediction supports the effective treatment of alcohol use disorder (AUD) and other psychiatric disorders. Traditional statistical techniques have identified patient characteristics associated with treatment outcomes. However, less work has focused on systematically leveraging these associations to create optimal predictive models. The current study demonstrates how machine learning can be used to predict clinical outcomes in people completing outpatient AUD treatment. Method: We used data from the COMBINE multisite clinical trial (n = 1383) to develop and test predictive models. We identified three priority prediction targets, including (1) heavy drinking during the first month of treatment, (2) heavy drinking during the last month of treatment, and (3) heavy drinking between weekly/bi‐weekly sessions. Models were generated using the random forest algorithm. We used "leave sites out" partitioning to externally validate the models in trial sites that were not included in the model training. Stratified model development was used to test for sex differences in the relative importance of predictive features. Results: Models predicting heavy alcohol use during the first and last months of treatment showed internal cross‐validation area under the curve (AUC) scores ranging from 0.67 to 0.74. AUC was comparable in the external validation using data from held‐out sites (AUC range = 0.69 to 0.72). The model predicting between‐session heavy drinking showed strong classification accuracy in internal cross‐validation (AUC = 0.89) and external test samples (AUC range = 0.80 to 0.87). Stratified analyses showed substantial sex differences in optimal feature sets. Conclusion: Machine learning techniques can predict alcohol treatment outcomes using routinely collected clinical data. This technique has the potential to greatly improve clinical prediction accuracy without requiring expensive or invasive assessment methods. More research is needed to understand how best to deploy these models. [ABSTRACT FROM AUTHOR]

Objectives: Concurrent substance use disorder (SUD) and posttraumatic stress disorder (PTSD) occur at high rates and are typically associated with poor treatment outcomes in both sexes. However, women have a propensity to cope with increased negative affect via substance use in comparison to men; thus, it is important to elucidate the sex-specific bidirectional relationships between SUD and PTSD to improve our understanding of concurrent SUD/PTSD in men and women. Methods: Using data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-Wave 3; n = 36,309), the present study evaluated the impact of sex on the relationship between past-year SUDs (new, remitted, ongoing), including alcohol and drug use, and retrospective transitions in new vs. absent and ongoing vs. remitted diagnoses of PTSD. Additionally, the impact of sex was explored in models examining past year PTSD (new, remitted, ongoing) and retrospective transitions in new vs. absent and ongoing vs. remitted diagnosis of SUDs. Diagnostic transitions were based on retrospective reporting. Results: Results indicated that new, remitted, and ongoing SUDs increase the likelihood of new PTSD diagnoses (OR range = 2.53–8.11; p < 0.05). Among individuals with ongoing drug use disorders (DUD), there were greater odds of ongoing PTSD (OR = 2.10, p < 0.01). When examining the relationship reciprocally, new, remitted, and ongoing PTSD increased the likelihood of new SUDs (OR range = 2.50–8.22; p < 0.05), and ongoing PTSD increased the likelihood of ongoing SUD and DUD (OR = 1.40, 1.70, respectively; p < 0.05). Sex-specific analyses revealed that the relationship between PTSD and SUDs varies between sexes, particularly among women. For instance, women with new PTSD had higher odds of SUDs, and women with ongoing PTSD were almost 2.5 times more likely to have an ongoing DUD. Women with a new PTSD diagnosis were more likely to be diagnosed with a new SUD (OR = 3.27) and an ongoing DUD (OR = 3.08). Conclusions: Results indicate a bidirectional relationship between PTSD and SUD that is in many instances larger in women. Thus, illustrating potential sex-specific differences in underlying mechanisms implicated in SUD/PTSD, warranting additional research. [ABSTRACT FROM AUTHOR]