Background: Childhood maltreatment is associated with the development and maintenance of mental disorders. The purpose of this naturalistic study was (a) to identify different patterns of childhood maltreatment, (b) to examine how these patterns are linked to the severity of mental disorders and (c) whether they are predictive of treatment outcome. Methods: 742 adult patients of a university hospital for psychotherapy and psychosomatics were assessed at intake and discharge by standardized questionnaires assessing depression (Beck Depression Inventory, BDI) and general mental distress (Symptom Check List-90-R, SCL-90-R). Traumatic childhood experience (using the Childhood Trauma Questionnaire, CTQ) and ICD-10 diagnoses were assessed at intake. Results: The patients could be allocated to three different patterns of early childhood trauma experience: mild traumatization, multiple traumatization without sexual abuse and multiple traumatization with sexual abuse. The three patterns showed highly significant differences in BDI, General Severity Index (GSI) and in the number of comorbidity at intake. For both BDI and GSI a general decrease in depression and general mental distress from intake to discharge could be shown. The three patterns differed in BDI and GSI at intake and discharge, indicating lowest values for mild traumatization and highest values for multiple traumatization with sexual abuse. Patients with multiple traumatization with sexual abuse showed the least favourable outcome. Conclusion: The results provide evidence that the severity of childhood traumatization is linked to the severity of mental disorders and also to the treatment outcome in inpatient psychotherapy. In the study, three different patterns of childhood traumatization (mild traumatization, multiple traumatization without sexual abuse, multiple traumatization with sexual abuse) showed differences in the severity of mental disorder and in the course of treatment within the same therapy setting.

Background: Polysubstance use (PSU) is common among patients with cannabis use (CU) and is related to more severe CU problems. However, it is unclear how PSU predicts CU treatment outcomes beyond CU patterns. We examined the frequency, amount, and class of additionally used substances as predictors for primary and secondary outcomes. Methods: We conducted crude and adjusted regression analyses for PSU variables as predictors of remission, abstinence, reduction, and secondary outcomes in 166 help-seeking patients from a randomized clinical trial of CANDIS, a cognitive behavioral treatment program. Results: Patients with recent illegal PSU experienced more difficulties in reducing their CU (B = –1.22, p < 0.001). In contrast, remission rates were slightly higher in patients with a wide variety of last-year-PSU (RD = 0.04, p < 0.001). Amphetamine use predicted poorer outcomes regarding CU-related problems (B = –4.22, p = 0.019), and the use of opiates, inhalants, and dissociative substances predicted poorer physical health outcomes (B = –0.62, p = 0.009; B = –0.96, p = 0.039; B = –1.18, p = 0.007). Conclusions: CU treatment is also effective for patients with moderate PSU. However, treatment effects may be enhanced by addressing specific PSU characteristics as part of a modularized program.