This experimental pilot study compared post-release outcomes for 115 women who participated in prison-based substance abuse treatment. Women were randomized to a gender-responsive treatment (GRT) program using manualized curricula (Helping Women Recover and Beyond Trauma) or a standard prison-based therapeutic community (TC). Data were collected from the participants at prison program entry and 6 and 12 months after release. Bivariate and multivariate analyses were conducted. Results indicate that both groups improved in psychological well-being; however, GRT participants had greater reductions in drug use, were more likely to remain in residential aftercare longer (2.6 months vs. 1.8 months, p < .05), and were less likely to have been reincarcerated within 12 months after parole (31% vs. 45%, respectively; a 67% reduction in odds for the experimental group, p < .05). Findings show the beneficial effects of treatment components oriented toward women's needs and support the integration of GRT in prison programs for women.

Currently, 15 million Mexican and Central American individuals live in the United States, with this number projected to rise in the next few decades (Lesser & Batalova, 2017; Zong & Batalova, 2017). Research has begun to investigate the impact of the nation's immigration practices and policies on immigrant Latino/a families and youth. Current immigration policies can create vulnerabilities, including fear and mistrust, discrimination, limited access to services, parent-child separation, and poverty. These experiences increase risk for poor mental health outcomes and may exacerbate prior exposure to traumas in the home country (e.g., violence) and during migration (e.g., extortion). This paper reviews current immigration policies for arriving Mexican and Central American immigrants and links to mental health among documented and undocumented immigrant families and youth. A discussion of positive policies and resources that may mitigate the damaging impact of immigration-related stress is included. Finally, social justice implications for clinicians and researchers are discussed, with culturally sensitive interventions, advocacy, and dissemination of research and policy as primary recommendations. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Background Around 144 cannabinoids have been identified in cannabis plant, among them tetrahydrocannabinol (THC) and cannabidiol (CBD) are the most prominent ones. Because of the legal restrictions on cannabis in many countries, it is difficult to obtain standards to use in research; nonetheless, it is important to develop a cannabinoid quantification technique with pharmaceutical applications for quality control of future therapeutic cannabinoids. Method To find relevant articles for this narrative review paper, a combination of keywords such as medicinal cannabis, analytical, quantification and cannabinoids were searched for in PubMed, EMBASE, MEDLINE, Google Scholar and Cochrane Library (Wiley) databases. Results The most common cannabinoid quantification techniques include gas chromatography (GC) and high-performance liquid chromatography (HPLC). GC is often used in conjunction with mass spectrometry (MS) or flame ionization detection (FID). The major advantage of GC is terpenes quantification however, for evaluating acidic cannabinoids it needs to be derivatised. The main advantage of HPLC is the ability to quantify both acidic and neutral forms of cannabinoids without derivatisation which is often with MS or ultraviolet (UV) detectors. Conclusion Based on the information presented in this review, the ideal cannabinoid quantification method is HPLC- MS/MS for the cannabinoids.

The current study examines whether daily coping moderates the effects of daily stress on same-day mood and next-day mood among 58 Latino adolescents (M = 13.31; 53% male). The daily diary design capitalized on repeated measurements, boosting power to detect effects and allowing for a robust understanding of the day-to-day experiences of Latino adolescents. Hierarchical linear modeling revealed that on days when youth reported higher levels of peer and academic stress, they also reported more negative moods. However, only poverty-related stress predicted mood the following day. Engagement coping buffered the effect of poverty-related stress on next-day negative and positive mood, while disengagement exacerbated the effects of academic and peer stress. The need for interventions promoting balanced coping repertoires is discussed.