DTI-MRI findings in synthetic cannabinoid users

Background/aim: Synthetic cannabinoids (SCs) are full agonists of both cannabinoid receptors. Conventional magnetic resonance imaging (MRI) findings of SC users are mainly defined as diffusion restriction and T2/FLAIR hyperintensity. Diffusion tensor imaging (DTI) studies examining SC users have shown contradictory results. The aim of this study was to define white matter (WM) changes of SC users using DTI. Materials and methods: The study included 22 patients with a history of using SC for 5­37 months, and 22 healthy, age and sex-matched control subjects. A total of 41 diffusion gradient directions were used in the acquisition of diffusion imaging data. Fractional anisotropy (FA) and apparent diffusion coefficients (ADC) values were obtained. ROIs were placed on WM areas of normal appearance. Results: In the SC users, significantly lower FA values were determined in the left temporal lobe (216.2 ± 58.9 vs. 263 ± 27.4; P = 0.002) and right hippocampus (224.5 ± 61.5 vs. 255 ± 24.3; P = 0.040). The ADC values of the hippocampus and temporal lobe were significantly higher than those of the control group on both the left and right sides. Conclusion: The SC use causes WM microstructural changes, especially in the hippocampus and temporal lobes. DTI is a useful tool to reveal WM changes in SC addicts and can be used earlier than conventional MRI.

Cognitive Distortions as Barriers to Seeking Smoking Cessation Treatment: A Comparative Study.

Background/Objectives: Despite the availability of effective pharmacotherapy and evidence-based treatments, a substantial proportion of smokers do not seek treatment. This study aims to explore the cognitive distortions associated with not seeking evidence-based smoking cessation treatment and to identify cognitive barriers. Methods: The research conducted in Istanbul between October and December 2017 employs a cross-sectional design and includes two groups: a treatment-seeking group comprising 156 patients diagnosed with tobacco use disorder and a non-treatment seeking group of 78 patients with tobacco use disorder who had never sought professional help for smoking cessation. A comprehensive data collection process was used, including sociodemographic information, cognitive distortion assessment using the cognitive distortions scale, a smoking-related cognitive distortions interview and the Fagerström Test for Nicotine Dependence. Results: While no significant sociodemographic differences were observed between the treatment-seeking and non-treatment-seeking groups, the study found that higher nicotine dependence was associated with a higher likelihood of seeking treatment. The treatment-seeking group displayed significantly higher levels of "all-or-nothing thinking" cognitive distortions related to smoking and smoking cessation. Conversely, the non-treatment-seeking group exhibited elevated levels of cognitive distortions such as "labeling", "mental filtering", "should statements" and "minimizing the positive" regarding receiving smoking cessation treatment. Conclusions: Understanding the cognitive distortions associated with treatment-seeking behavior for tobacco use disorder is crucial for developing targeted public-based interventions, public service announcements for tobacco use prevention and encouraging individuals to seek evidence-based treatment. Addressing these cognitive distortions can also potentially enhance the effectiveness of smoking cessation programs and reduce the global burden of tobacco-related diseases and mortality.

HCV Genotype Distribution Among People Who Inject Drug in Turkey: Findings from Multicenter and Cross-Sectional Study.

Background: Hepatitis C virus (HCV) infection is very common in people who inject drugs (PWID). Studies about the prevalence and genotype distribution of the HCV among PWID are very crucial for developing strategies to manage HCV infection. This study's objective is to map the distribution of HCV genotypes among PWID from various regions of Turkey. Method: This prospective, multicenter, cross-sectional study involved 197 PWID who tested positive for anti-HCV antibodies from 4 different addiction treatment facilities in Turkey. Interviews were done with people who had anti-HCV antibodies, and blood samples were taken to check the HCV RNA viremia load and genotyping. Results: This study was conducted on 197 individuals with a mean age of 30.3 ± 8.6 years. 9.1% (136/197 patients) had a detectable HCV-RNA viral load. Genotype 3 was the most commonly observed genotype by 44.1%, followed by genotype 1a by 41.9%, genotype 2 by 5.1%, genotype 4 by 4.4%, and genotype 1b by 4.4%. Whereas genotype 3 was dominant with 44.4% at the central Anatolia region of Turkey, the frequencies of genotypes 1a and 3, which were predominantly detected in the south and northwest regions of Turkey, were very close to each other. Conclusion: Although genotype 3 is the predominant genotype in the PWID population in Turkey, the prevalence of HCV genotype varied across the country. To eliminate HCV infection in the PWID, treatment and screening strategies that differ by genotype are essentially required. Especially identification of genotypes will be useful in developing individualized treatments and determining national prevention strategies.

Does trait mindfulness level affect quitting cannabis use? A six week follow-up study

Abstract Background: Only 29% of cannabis dependent individuals seek treatment, yet significant decreases in cannabis use are seen in 31-36% of individuals that seek treatment. Follow-up studies have found that over 60% in substance use disorders end in relapse, leading to potentially chronic and relapsing cases. New and effective therapies should be researched in order to increase the success of relapse prevention treatments. Objective: In this study we aimed to evaluate the relationship between trait mindfulness level, substance dependence severity and quitting cannabis use. Methods: A hundred and sixty four patients, diagnosed with cannabis dependence, were involved in the study; socidemographic datas were recorded and Addiction Profile Index (API), Mindfuness Attention and Awareness Scale (MAAS) were carried out. Results: We found that the trait mindfulness level is significantly related with quitting cannabis use. Discussion: Trait mindfulness may be an important determining factor of the ability to quit substance use and achieve remission.