Disparities in substance use disorder (SUD) treatment use persist across groups, including gender. Using a gender-informed approach to expand treatment capacity and reduce barriers to treatment engagement is vital. We examined SUD treatment need and receipt among people with SUD in the United States, by gender, and assessed gender-specific sociodemographic factors associated with unmet need for SUD treatment and reported treatment barriers. We conducted an analysis of data among adults aged ≥18 with a past-year SUD from the National Survey on Drug Use and Health (2015-2018). We computed population-adjusted frequencies and proportions for SUD treatment need and receipt and assessed gender differences. Multivariate logistic regression assessed gender-specific sociodemographic variables associated with SUD treatment receipt. Among adults with a past-year SUD, 63.4% were men and 36.6% were women (P < .001), only 10.6% received SUD treatment, and a greater percentage of women than men needed treatment for opioid use disorder (11.9% vs 9.9%; P = .002). Receipt of SUD treatment was lowest among women with alcohol use disorder followed by men with alcohol use disorder (7.5% vs 8.9%; P = .052). Non-Latinx Black men had fewer than half the adjusted odds of receiving SUD treatment than non-Latinx White men (adjusted odds ratio [aOR] = 0.44; 95% CI, 0.27-0.71). Latinx women (aOR = 0.37; 95% CI, 0.18-0.73) and non-Latinx Black women (aOR = 0.51; 95% CI, 0.27-0.94) had significantly lower odds of receiving SUD treatment than non-Latinx White women. As public health efforts target expanding SUD treatment capacity and addressing disparities in use of SUD treatment, interventions informed by gender and culture should be prioritized.

Background: Postpartum is a highly vulnerable time for women with opioid use disorder (OUD). Our primary objective was to identify patient and provider reported aspects of the pregnancy to postpartum transition that impact recovery progress for postpartum women receiving medication for opioid use disorder (MOUD). Methods: This qualitative study consisted of semi-structured interviews with postpartum women in OUD treatment (n = 12) and providers (n = 9) at an outpatient addiction clinic. Interviews were transcribed and analyzed using an editing style approach to report themes and quotes. Results: Patients and providers identified different themes that both promote and challenge recovery during the postpartum transition. These comprised of clinical factors, including MOUD, neonatal opioid withdrawal syndrome (NOWS) and pain associated with labor and delivery as well as psychosocial factors, such as role of a support system, mental health aspects of anxiety and depression causing mood changes, stigma and mistrust among healthcare providers and child welfare. Conclusions: Patients receiving MOUD and their providers identified multiple aspects unique to the postpartum transition that substantially strengthen and/or oppose OUD recovery. These aspects impacting recovery include factors specific to the receipt of MOUD treatment and those not specific to MOUD, yet tied to the postpartum state. Overall, these findings provide insight into areas for future research focused on identifying opportunities to promote recovery-oriented care for families affected by OUD.

Objectives: Perinatal opioid use disorder is increasing. Integrated obstetric/addiction care models likely optimize parent-infant dyad outcomes, but the ideal combination of services is unknown. This study (1) describes pregnancy-to-postpartum service utilization by people receiving buprenorphine at an integrated Obstetric/Addiction Clinic and (2) explores the association between service utilization and postpartum buprenorphine continuation. Methods: This retrospective medical record review study uses research registry data from an outpatient Obstetric/Addiction Clinic. All patients are invited to participate in the research registry. For patients who consent, monthly medical record abstractions are conducted beginning with their first clinic visit to collect demographic, obstetric, and substance use disorder treatment variables. Present analyses included patients who delivered an infant between June 2019 and June 2021, started buprenorphine during pregnancy, and were receiving buprenorphine at delivery. Overall service utilization was the number of services (range 0–12) used between 28-weeks gestation and 12-weeks postpartum. Bivariate analyses and multivariable logistic regression assessed associations between service utilization and buprenorphine continuation. Results: Participants (n = 42) were primarily non-Latinx White (67%) with comorbid psychiatric diagnoses (95%). On average, participants used 6 services; prenatal care, mental health care, and postpartum contraception were most utilized. Overall, 69% of participants continued buprenorphine at 6 months postpartum. This did not differ by level of service utilization (bivariate [P = 0.07], multivariable [P = 0.16]). Conclusion: Integrated care with a harm reduction focus supports pregnancy-to-postpartum service utilization and buprenorphine continuation in a patient sample at high risk for medication for opioid use disorder discontinuation. Further work is needed to identify evidence-based methods to individualize integrated obstetric/addiction care.

Despite its widespread use, resting-state functional magnetic resonance imaging (rsfMRI) has been criticized for low test-retest reliability. To improve reliability, researchers have recommended using extended scanning durations, increased sample size, and advanced brain connectivity techniques. However, longer scanning runs and larger sample sizes may come with practical challenges and burdens, especially in rare populations. Here we tested if an advanced brain connectivity technique, dynamic causal modeling (DCM), can improve reliability of fMRI effective connectivity (EC) metrics to acceptable levels without extremely long run durations or extremely large samples. Specifically, we employed DCM for EC analysis on rsfMRI data from the Human Connectome Project. To avoid bias, we assessed four distinct DCMs and gradually increased sample sizes in a randomized manner across ten permutations. We employed pseudo true positive and pseudo false positive rates to assess the efficacy of shorter run durations (3.6, 7.2, 10.8, 14.4 minutes) in replicating the outcomes of the longest scanning duration (28.8 min) when the sample size was fixed at the largest (n=160 subjects). Similarly, we assessed the efficacy of smaller sample sizes (n=10, 20, …, 150 subjects) in replicating the outcomes of the largest sample (n=160 subjects) when the scanning duration was fixed at the longest (28.8 min). Our results revealed that the pseudo false positive rate was below 0.05 for all the analyses. After the scanning duration reached 10.8 minutes, which yielded a pseudo true positive rate of 92%, further extensions in run time showed no improvements in pseudo true positive rate. Expanding the sample size led to enhanced pseudo true positive rate outcomes, with a plateau at n=70 subjects for the targeted top one-half of the largest ECs in the reference sample, regardless of whether the longest run duration (28.8 minutes) or the viable run duration (10.8 minutes) was employed. Encouragingly, smaller sample sizes exhibited pseudo true positive rates of approximately 80% for n=20, and 90% for n=40 subjects. These data suggest that advanced DCM analysis may be a viable option to attain reliable metrics of EC when larger sample sizes or run times are not feasible.