Zusammenfassung. Fragestellung: Nur wenige Kliniken für Kinder- und Jugendpsychiatrie (KJP) bieten eine ambulante Behandlung von Jugendlichen mit Substanzkonsumstörungen (SUDs) an. Daher fehlen Angaben, welche Konsummuster, SUDs und begleitenden psychischen Störungen diese Jugendlichen aufweisen. Methodik: N = 201 Patient_innen einer universitären Spezialambulanz (12–19 Jahre alt) wurden bezüglich Konsummustern, SUDs und aktuellen psychischen Störungen mittels Interview untersucht. Es wurden diesbezüglich deskriptive Darstellungen zu Prävalenzzahlen der SUDs, Konsummustern und begleitenden psychischen Störungen aufgeteilt nach Geschlecht und aktuellem Alter erstellt. Ergebnisse: Tabak (88 %) und Cannabis (86 %) waren die verbreitetsten Substanzen. Bei 67 % aller Patient_innen wurde mehr als eine SUD festgestellt. SUDs bezogen sich am häufigsten auf Cannabis (84 %), gefolgt von Tabak (77 %). 72 % aller Patient_innen zeigten eine die SUD begleitende psychische Störung, insbesondere Störungen des Sozialverhaltens (40 %), hyperkinetische Störungen (21 %) und depressive Störungen (18 %). Schlussfolgerungen: Ambulant behandelte jugendliche KJP-Patient_innen mit SUDs präsentieren sich häufig mit begleitenden psychischen Störungen. Angebotene Behandlungsprogramme sollten in der Behandlung von SUDs insbesondere Störungen des Sozialverhaltens, Depressionen und hyperkinetische Störungen berücksichtigen.

Background Methamphetamine (MA) use has been shown to be associated with deficits in impulsivity, verbal learning, and working memory. Additionally, methamphetamine use disorder (MUD) is related to various brain changes, especially in adolescent users who might be more vulnerable to detrimental effects on brain development. However, little is known about the relationship between adolescent MA use and cognitive impairment. This cross-sectional study aims to explore how the presence of a MUD in adolescents is related to impairments of verbal memory, inhibition, and alertness. Methods N = 18 psychiatric outpatients with MUD were matched in terms of depressivity, age, and gender to n = 18 adolescents with other substance use disorders (SUDs), as well as n = 18 controls without SUDs. We compared these three groups on the Verbal Learning and Memory Task (VLMT), and the alertness and go/noGo subtests of the Test of Attentional Performance (TAP). Additionally, Spearman’s rank order correlation coefficients were calculated to investigate whether cognitive functioning was directly associated with frequency of past year MA use. Results The three groups differed significantly in their verbal learning performance (H (2) = 11.7, p = .003, ηp2 = .19), but not in short-term memory, inhibition, cued recall, or alertness. Post hoc tests revealed significant differences in verbal learning between the MA using group and the control group without a SUD (U = 56.5, p = .001, ηp2 = .31). Frequency of past year MA use correlated negatively with short-term memory (ρ = −.25, p < .01) and verbal learning (ρ = −.41, p < .01). No other cognitive variables correlated significantly with MA use frequency. Significant p-values were considered significant after Bonferroni correction. Conclusions Adolescent MUD outpatients with regular MA use show specific impairment in verbal learning performance, but not in other basal cognitive functions when compared to adolescents without a MUD. Verbal learning and short-term memory performance is negatively associated with the frequency of MA use. Future research should apply longitudinal designs to investigate long-term effects of methamphetamine and reversibility of these effects on cognitive functioning.

Background Post-traumatic stress disorder (PTSD) and substance use disorders (SUDs) often co-occur in adolescent patients. Previous research has shown that these patients differ from SUD patients without PTSD in terms of their substance use patterns. In this study, we aimed to test whether substance use in this population is related to an attempt to self-medicate PTSD-related symptoms. Methods German adolescent patients (aged 13–18 years) at an outpatient clinic for SUD treatment, n = 111 (43% female), completed a self-designed questionnaire on use motives, a measure of PTSD-related experiences, and underwent a standardized psychiatric interview including structured substance use questions. Participants were subsequently classified as ‘no traumatic experiences (‘noTEs’ but SUD), ‘traumatic experiences but no current PTSD diagnosis’ (‘TEs’ with SUD), and ‘PTSD’ with SUD. After establishing a self-designed motive measurement through exploratory and confirmatory factor analyses, we calculated non-parametric group differences and a mediation analysis in a linear regression framework. Results The past-year frequency of MDMA use was highest in the PTSD group and lowest in the noTE group (H (2) = 7.2, p = .027, η2 = .058), but no differences were found for frequencies of tobacco, alcohol, cannabis, or stimulant use (all H ≤ 4.9, p ≥ .085, η2 ≤ .033). While controlling for sex, the three groups showed a similar pattern (highest in the PTSD group and lowest in the noTE group) for coping scores (F (103) = 5.77, p = .004, η2 = .101). Finally, mediation analyses revealed an indirect effect of coping score (b = 0.61, 95% CI [0.29, 1.58], p = .145) on the association between group membership and MDMA use frequency. Conclusions In adolescent SUD patients, we found an association of current PTSD and lifetime traumatic experiences with higher MDMA use that could be partially explained by substance use being motivated by an attempt to cope with mental health symptoms. This indicates a coping process involved specifically in MDMA use compared to the use of other psychoactive substances, possibly due to unique psychoactive effects of MDMA.

Both internalizing and externalizing psychopathologies interfere with the treatment of substance use disorders (SUD) in adolescents. Self-reports of psychopathologies are likely biased and may be validated with parental reports. We compared N = 70 standardized self-reports of adolescents entering outpatient SUD treatment (13.2–18.6 years old, 43% female) to parental reports on the same psychopathologies, and explored biases due to gender, age, SUD diagnoses and SUD severity. Bivariate bootstrapped Pearson correlation coefficients revealed several small to moderate correlations between both reporting sources (r = 0.29–0.49, all pcorrected ≤ 0.039). A repeated measures MANOVA revealed moderately stronger parental reports of adolescent psychopathologies compared to adolescent self-reports for most externalizing problems (dissocial and aggressive behaviors, p ≤ 0.016, η2part = 0.09–0.12) and social/attention problems (p ≤ 0.012, η2part = 0.10), but no differences for most internalizing problems (p ≥ 0.073, η2part = 0.02–0.05). Differences were not associated with other patient or parental characteristics including age, gender, number of co-occurring diagnoses or presence/absence of a certain SUD (all puncorrected ≥ 0.088). We concluded that treatment-seeking German adolescents with SUD present with a multitude of extensive psychopathologies. The relevant deviation between self- and parental reports indicate that the combination of both reports might help to counteract dissimulation and other reporting biases. The generalizability of results to inpatients, psychiatry patients in general, or adolescents without SUD, as well as the validity of self- and parental reports in comparison to clinical judgements remain unknown.