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Helichrysum arenarium (L.) Moench (Asteraceae) is a self-compatible, insect-pollinated herb occurring in sand grasslands, and is declining and endangered in many parts of its European distribution range. A recovery plan of H. arenarium has been conducted in southern Belgium, involving plant translocations. We developed multiplex genotyping protocol for nine microsatellite markers previously published for Helichrysum italicum and two newly developed microsatellite markers for H. arenarium. Eleven polymorphic loci were associated (pooled) in two multiplex panels, to assess the genetic status of the only small remaining population in Belgium and of three large German populations used as seed source for propagating transplants. The small Belgian population was characterized by high clonality, with only two, however heterozygous, genets detected. The three large German populations showed high genetic diversity (H e ranging from 0.635 to 0.670) and no significant inbreeding coefficient values, despite expectations of geitonogamous selfing. Management practices (grazing livestock) increasing seed dispersal distances, inbreeding depression at early stages of development, and mechanisms preventing or delaying selfing might be hypothesized to explain the observed patterns. The two Belgian genotypes remained within genetic variation range of German populations so that the high genetic differentiation between Belgian and German populations (F ST values ranging from 0.186 to 0.206) likely resulted from genetic drift effects and small sample size. Transplants obtained from seeds sampled from the three large source populations from Germany constitute a highly diverse, noninbred gene pool, and are thus of high genetic quality for plant translocations.
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Background: Adolescents use drugs once, then use them regularly, then start and stop many times. In addiction treatment, relapse is a major barrier to recovery. Relapse is more common among adolescents and is a major problem. Thus, this study aimed to identify the factors impacting the duration of relapse in adolescents. Methods: This is a multicenter, cross-sectional study. A total of 157 adolescents who applied to 4 different child and adolescent addiction treatment centers between January 2020 and March 2020 were included in the study. The "Addiction Profile Survey Adolescent Form" was administered to the participants face to face. According to the duration of relapse determined with this form, the cases were analyzed separately as before and after 1 month. Results: The sample consisted of 112 (71.34%) males and 45 (28.66%) females, with a mean age of 17.1 ± 0.8 years. Cannabis use (P = .010), late treatment initiation (P = .003), less psychosocial (P = .001), outpatient (P = .006), and inpatient (P = .006) treatment history were significantly associated with relapse before 1 month. Cannabis users were approximately 4 times more likely to relapse in less than a month, while ecstasy users were approximately 4 times more likely to relapse over a month (OR = 0.26, CI = 0.1-0.69), (OR = 4.16, CI = 1.26-13.78). In the multiple logistic regression analysis performed to determine the factors predicting the duration of relapse, it was found that not attending school (P = .018) and receiving less inpatient treatment (P = .019) predicted relapse occurred within 1 month. Conclusion: This study is considered remarkable in terms of demonstrating the necessity of early interventions and post-treatment care services. Currently, there are very few studies in the literature that investigate the factors that contribute to relapse in addicted adolescents. According to our literature review, no study examined factors affecting relapse duration in adolescents.
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Background: The "career approach," developed to understand substance use and treatment, is important because it can broadly encompass the complexity of addiction patterns and help to better illustrate the chronic and recurrent nature, correlations, and consequences of addiction. The current study aimed to examine the substance use career and patterns of patients diagnosed with substance use disorder. Methods: The authors created a questionnaire that included questions inquiring at what age several substance use-related life events occurred. The Addiction Profile Index was used to collect sociodemographic data and measure substance use disorder severity. Descriptive statistics and group comparisons were conducted to evaluate the data. Results: Of the cases (n = 400), 72.7% began using substances before the age of 18, but only 12.4% (n = 68) sought treatment by that age. There were approximately 8 years between starting substance use and seeking treatment. Substance use was noticed by the family approximately 5 years after it started. There was a difference between males and females in terms of the age of experiencing adverse life events due to substance use, with females being earlier (P = .030). Similarly, individuals with opioid use disorder experienced adverse life events due to substance use at an earlier age than the non-opioid group (P = .001). Conclusion: Identifying patient characteristics associated with the course of use in people who use different substances of choice and examining the differences in lifelong substance use patterns among these groups will help develop targeted treatment services and policies.
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OBJECTIVE: The objective of this study was to develop a short scale that assesses the progress and recovery in addiction treatment with respect to all relevant areas, and to determine its validity and reliability. METHOD: After scanning the literature and consulting the experts, a pool of questions was. The pilot form was tested in 10 cases then a final 8-item scale was generated. Clinical sample of the study consisted of 307 alcohol/substance users who applied Turkish Green Crescent Outpatient Counselling Center for psychosocial treatment between March 2016 and March 2017. Non-clinical sample of the study is composed by 102 randomly chosen participants without a history of psychiatric disorder. The reliability of the Addiction Outcome Assessment Index (AOAI) questions was determined by computing the Cronbach's alpha coefficient, and the factor structure analysis was determined by varimax rotation. Analysis of the reliability of the change between sessions was conducted via Reliable Change Index-(RCI). RESULTS: The Cronbach's alpha coefficient for the total Outcome Assessment Index (AOAI) was 0.80. Therapists' total correlation coefficient was 0.75. Explanatory Factor Analysis revealed 2 factors which explains 43.96% of the total variance. The difference between groups' AOAI-Turkish (BASI) mean score was statistically significant. Cut-off point was determined as 8.63. RCI was 3.5. AOAI's first session mean score was 14.92±5.63, the mean score decreased at the tenth session to 9.4±4.71. CONCLUSION: The results showed that AOAI is a valid and reliable questionnaire that can be used to measure the progress of different dimensions of alcohol and substance use.
