27 research outputs found

    Susceptibility to interference between Pavlovian and instrumental control predisposes risky alcohol use developmental trajectory from ages 18 to 24

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    Pavlovian cues can influence ongoing instrumental behaviour via Pavlovian-to-instrumental transfer (PIT) processes. While appetitive Pavlovian cues tend to promote instrumental approach, they are detrimental when avoidance behaviour is required, and vice versa for aversive cues. We recently reported that susceptibility to interference between Pavlovian and instrumental control assessed via a PIT task was associated with risky alcohol use at age 18. We now investigated whether such susceptibility also predicts drinking trajectories until age 24, based on AUDIT (Alcohol Use Disorders Identification Test) consumption and binge drinking (gramme alcohol/drinking occasion) scores. The interference PIT effect, assessed at ages 18 and 21 during fMRI, was characterized by increased error rates (ER) and enhanced neural responses in the ventral striatum (VS), the lateral and dorsomedial prefrontal cortices (dmPFC) during conflict, that is, when an instrumental approach was required in the presence of an aversive Pavlovian cue or vice versa. We found that a stronger VS response during conflict at age 18 was associated with a higher starting point of both drinking trajectories but predicted a decrease in binge drinking. At age 21, high ER and enhanced neural responses in the dmPFC were associated with increasing AUDIT-C scores over the next 3 years until age 24. Overall, susceptibility to interference between Pavlovian and instrumental control might be viewed as a predisposing mechanism towards hazardous alcohol use during young adulthood, and the identified high-risk group may profit from targeted interventions

    Stronger Prejudices Are Associated With Decreased Model-Based Control

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    Background: Prejudices against minorities can be understood as habitually negative evaluations that are kept in spite of evidence to the contrary. Therefore, individuals with strong prejudices might be dominated by habitual or “automatic” reactions at the expense of more controlled reactions. Computational theories suggest individual differences in the balance between habitual/model-free and deliberative/model-based decision-making. Methods: 127 subjects performed the two Step task and completed the blatant and subtle prejudice scale. Results: By using analyses of choices and reaction times in combination with computational modeling, subjects with stronger blatant prejudices showed a shift away from model-based control. There was no association between these decision-making processes and subtle prejudices. Conclusion: These results support the idea that blatant prejudices toward minorities are related to a relative dominance of habitual decision-making. This finding has important implications for developing interventions that target to change prejudices across societies

    Acute alcohol effects on explicit and implicit motivation to drink alcohol in socially drinking adolescents

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    Alcohol-related cues can evoke explicit and implicit motivation to drink alcohol. Concerning the links between explicit and implicit motivation, there are mixed findings. Therefore, we investigated both concepts in 51 healthy 18- to 19-year-old males, who are less affected by neuropsychological deficits in decision-making that are attributed to previous alcohol exposure than older participants. In a randomized crossover design, adolescents were infused with either alcohol or placebo. Self-ratings of alcohol desire, thirst, well-being and alcohol effects comprised our explicit measures of motivation. To measure implicit motivation, we used money and drink stimuli in a Pavlovian conditioning (Pc) task and an Approach-Avoidance Task (AAT). Alcohol administration increased explicit motivation to drink alcohol, reduced Pc choices of alcoholic drink-conditioned stimuli, but had no effect on the AAT. This combination of results might be explained by differences between goal-directed and habitual behavior or a temporary reduction in rewarding outcome expectancies. Further, there was no association between our measures of motivation to drink alcohol, indicating that both self-reported motivation to drink and implicit approach tendencies may independently contribute to adolescents’ actual alcohol intake. Correlations between Alcohol Use Disorders Identification Test (AUDIT) scores and our measures of motivation to drink alcohol suggest that interventions should target high-risk adolescents after alcohol intake

    Self-reported PTSD is associated with increased use of MDMA in adolescents with substance use disorders

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    Background Adolescent patients with a substance use disorder (SUD) often fulfil the criteria for a co-occurring post-traumatic stress disorder (PTSD). However, it is not clear if these dual-diagnosed adolescents present with unique levels of substance use and how their substance use relates to PTSD symptom clusters. Objective To investigate substance use in adolescents with co-occurring PTSD and SUD. Additionally, we explored how the use of specific substances is related to specific PTSD symptom clusters. Method We recruited n = 121 German adolescent SUD patients, in three groups: no history of traumatic events (TEs) (n = 35), TEs but not PTSD (n = 48), probable PTSD (n = 38). All groups were administered a trauma questionnaire and were asked to report their past-month substance use. Results Adolescents with probable PTSD and SUD report a higher frequency of MDMA use than adolescents with no PTSD and no TE (PTSD vs. noTE: U = 510.5, p = .016; PTSD vs. TE: U = 710.0, p = .010). The use of MDMA was more frequent in adolescents with avoidance symptoms (X2 (1) = 6.0, p = .014). Participants report using substances at a younger age (PTSD vs. noTE: U = 372.0, p = .001; PTSD vs. TE: U = 653.5, p = .022) and PTSD symptom onset was on average 2.2 years earlier than first MDMA use (t (26) = −2.89, p = .008). Conclusions Adolescent SUD patients with probable PTSD are more likely to use MDMA than SUD patients without PTSD. The use of MDMA was associated with reported avoidance symptoms. The first age of MDMA use is initiated after PTSD onset. It is unclear whether the association of MDMA use with avoidance symptoms is due to efforts to reduce these symptoms or a result of regular MDMA use

    Attenuated Psychotic Symptoms in Adolescents With Chronic Cannabis and MDMA Use

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    Objectives: Both substance use, on the one hand, and the first signs of psychosis, on the other, commonly begin in adolescence. Adolescents with substance use disorder (SUD) frequently show recreational use of cannabis and 3,4-methylenedioxymethamphetamine (MDMA). When attenuated psychotic symptoms (APS) occur during the course of SUD, they are commonly attributed to the cannabis use, neglecting the role of other substances abused, such as MDMA in the risk of psychosis. Methods: We analyzed retrospective self-reports on APS (Prodromal Questionnaire, PQ-16) and amount of cannabis and MDMA use in n = 46 adolescent psychiatry outpatients with SUD. N = 17 (35%) individuals reported MDMA consume additional to cannabis. Furthermore, we examined the associations of APS with cannabis and MDMA use in stepwise hierarchical regressions while controlling for trauma history, birth complications and gender. Results: APS were not related to cannabis (B = 0.04, p = 0.842), but to MDMA use (B = 4.88, p = 0.001) and trauma history (B = 0.72, p = 0.001). Gender (B = −0.22, p = 0.767) and birth complications (B = −0.68, p = 0.178) were not associated with APS. Discussion: Our results indicate that MDMA use additional to cannabis use is associated with APS among adolescent SUD patients. Contrary to our expectations, we did not see an association of cannabis use and APS. We speculate that cannabis increases the risk for psychosis after a longer period of use and in combination with other risk factors, such as trauma history. Clinicians should screen for APS among SUD patients using MDMA and cannabis in order to adapt treatment plans of SUDs. Future research should validate these findings in longitudinal studies including polysubstance use and trauma history

    Coping motives mediate the relationship between PTSD and MDMA use in adolescents with substance use disorders

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    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, ηÂČ = .058), but no differences were found for frequencies of tobacco, alcohol, cannabis, or stimulant use (all H ≀ 4.9, p ≄ .085, ηÂČ â‰€ .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, ηÂČ = .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

    Substanzkonsum, Störungen durch Substanzkonsum und begleitende psychische Störungen bei Jugendlichen: Zahlen aus einer Spezialambulanz fĂŒr Suchterkrankungen

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    Fragestellung: Nur wenige Kliniken fĂŒr 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 universitĂ€ren Spezialambulanz (12–19 Jahre alt) wurden bezĂŒglich Konsummustern, SUDs und aktuellen psychischen Störungen mittels Interview untersucht. Es wurden diesbezĂŒglich deskriptive Darstellungen zu PrĂ€valenzzahlen 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 hĂ€ufigsten 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 prĂ€sentieren sich hĂ€ufig mit begleitenden psychischen Störungen. Angebotene Behandlungsprogramme sollten in der Behandlung von SUDs insbesondere Störungen des Sozialverhaltens, Depressionen und hyperkinetische Störungen berĂŒcksichtigen.Objective: Only few clinics offer the outpatient treatment of substance use disorders (SUDs) among adolescents. Therefore, only limited data describe substance use patterns, SUDs, and co-occurring psychiatric disorders characteristic of adolescents who present in such outpatient clinics specialized in the treatment of SUDs. Method: Via interview we collected data from n = 201 patients between 12 and 19 years concerning their substance use, SUDs, and current co-occurring psychiatric disorders. We created descriptive presentation of data regarding use patterns, SUDs, and co-occurring disorders divided by sex and current age. Results: Tobacco (88 %) and cannabis (86 %) were the most frequently used substances. 67 % of all patients presented with more than one SUD, cannabis use disorder being the most prevalent one (84 %). 72 % presented with at least one co-occurring disorder, with conduct disorders (40 %), attention deficit (hyperactivity) disorders (21 %), and depressive disorders (18 %) being the most frequent ones. Conclusions: Adolescent SUD patients often present with co-occurring psychiatric disorders. Institutions for adolescent SUD treatment should also focus on treating co-occurring conduct disorders, depression, and attention deficit disorders

    Comparing self-report and parental report of psychopathologies in adolescents with substance use disorders

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    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

    What are the economic costs to society attributable to alcohol use? A systematic review and modelling study.

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    BACKGROUND Alcohol-attributable costs to society are captured by cost-of-illness studies, however estimates are often not comparable, e.g. due to the omission of relevant cost components. In this contribution we (1) summarize the societal costs attributable to alcohol use, and (2) estimate the total costs under the assumption that all cost components are considered. METHODS A systematic review and meta-analyses were conducted for studies reporting costs from alcohol consumption for the years 2000 and later, using the EMBASE and MEDLINE databases. Cost estimates were converted into 2019 international dollars (Int)peradultandintopercentageofgrossdomesticproduct(GDP).Foreachstudy,weightswerecalculatedtocorrectfortheexclusionofcostindicators.RESULTSOf1708studiesidentified,29wereincluded,andthemeancostsofalcoholuseamountedto817.6Int) per adult and into percentage of gross domestic product (GDP). For each study, weights were calculated to correct for the exclusion of cost indicators. RESULTS Of 1708 studies identified, 29 were included, and the mean costs of alcohol use amounted to 817.6 Int per adult (95% confidence interval [CI] 601.8-1033.4), equivalent to 1.5% of the GDP (95% CI 1.2-1.7%). Adjusting for omission of cost components, the economic costs of alcohol consumption were estimated to amount to 1306 Int$ per adult (95% CI 873-1738), or 2.6% (95% CI 2.0-3.1%) of the GDP. About one-third of costs (38.8%) were incurred through direct costs, while the majority of costs were due to losses in productivity (61.2%). DISCUSSION The identified cost studies were mainly conducted in high-income settings, with high heterogeneity in the employed methodology. Accounting for some methodological variations, our findings demonstrate that alcohol use continues to incur a high level of cost to many societies. REGISTRATION PROSPERO #CRD42020139594

    Identification of heavy drinking in the 10-item AUDIT: results from a prospective study among 18–21 years old non-dependent German males

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    Background Alcohol consumption is pivotal for the subsequent development of alcohol use disorders (AUD). The Alcohol Use Disorders Identification Test (AUDIT) is a recommended AUD screening tool for prevention and primary care settings. The objectives of this study were to test how many participants with heavy drinking are unidentified by the AUDIT, if proportions of unidentified participants vary over time, and whether this unidentified risk group (URG) was clinically relevant in terms of drinking behavior reports and AUD risk factors, as well as future adverse outcomes, such as craving, dependence symptoms, or depression. Methods Our prospective cohort study followed 164 German males aged 18–19 years without an alcohol dependence diagnosis over 24 months. Only men were included due to higher AUD prevalence and gender-specific differences in metabolism, drinking patterns, and progression to AUD. All participants were screened via telephone interview and answered questionnaires both in person and via internet. Heavy drinking was classified using the AUDIT consumption score (AUDIT-C ≄ 4.50). Standardized AUD diagnoses and symptoms, as well as alcohol use-related outcome criteria were assessed via standardized Composite International Diagnostic Interview (CIDI), and self-report questionnaires. Results One in four participants (22–28% across all four follow-ups) reported heavy drinking but was unidentified by AUDIT total score (i.e. score < 8), thus qualifying for URG status. The URG status did not fluctuate considerably across follow-ups (repeated-measures ANOVA, p = 0.293). URG participants identified at the six-month follow-up did not generally differ from participants without URG status in terms of AUD family history or temperament (multivariate ANOVA, p = 0.114), except for anxiety sensitivity (pBonferroni < 0.001). After two years, URG participants reported a similar level of adverse outcomes compared to low-risk participants (multivariate ANOVA, p = 0.438), but less alcohol-related problems and less loss of control due to craving compared to high-risk participants (pBonferroni ≀ 0.007). Conclusions Despite the considerable number of heavy-drinking individuals unidentified by AUDIT total scores, an additional classification according to AUDIT-C values did not prove useful. Combining AUDIT and AUDIT-C scores might not be sufficient for identifying AUD risk groups among young adult German males. There is an urgent need for a replication of our findings among female participants
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