The reflective measurement model of adherence to non-pharmaceutical interventions (NPIs) in accordance with normalization process theory (NPT) in coherent and convenient social subgroups: PLS-SEM analysis.

BACKGROUND: Non-pharmaceutical interventions (NPIs) decrease COVID-19 transmission. Reliability and validity of adherence to NPIs in accordance with normalization process theory (NPT) in coherent and convenient social subgroups using reflective measurement model assessment has not been evaluated. METHODS: In February 2021, a sample of medical students and people with substance use disorders in treatment as coherent (based on continuous probability distribution) vs. convenient groups (based on convenience, not equal probability) composed of travellers and COVID-19 suspected persons from Split-Dalmatia County (SDC) (n = 656) in the Mediterranean completed self-administered surveys. Partial least squares structural equation modelling (PLS-SEM) was used to measure reflective model assessment of adherence to NPIs according to NPT. RESULTS: PLS-SEM reflective model assessment provided two-group specific factors in inverse relationships which determined adherence to NPIs with excellent goodness-of-fit [χ2 = 1.292, df = 1; P = 0.297, CFI = 1, TLI = 0.997, RMSEA = 0.011 (90% CI 0-0.105), RMSEA P = 0.604, SRMR = 0.008, Hoelter CN (α = 0.05) = 2322.757]. Significant negative factors covariance estimate (-0.716) revealed an inverse relationship between first (adherence to NPIs and internal locus of control (LoC) (0.640)) and second factor; young adulthood age (≤25) and highest level of education (1362). As the first factor increased the second tended to decrease. LoC is expected potential mechanism by which sex (MLsex = -0.017, SE = 0.007, P < 0.016) and belonging to coherent subgroups (MLgroup = -0.008, SE = 0.003, P = 0.015) can produce indirect effect of adherence to NPIs. CONCLUSIONS: Coherent subgroups had a more pronounced tendency toward integration of NPIs in everyday life. Group factors that facilitate the normalization were higher educated younger adults with a tendency toward external LoC.

ABCB1, CYP2B6, and CYP3A4 genetic polymorphisms do not affect methadone maintenance treatment in HCV-positive patients.

The aim of this study was to determine the influence of ABCB1, CYP2B6, and CYP3A4 genetic polymorphisms on methadone metabolism in patients with hepatitis C virus (HCV) undergoing methadone maintenance treatment (MMT). The study included 35 participants undergoing MMT, who were divided in three groups: HCV-positive (N=12), HCV-negative (N=16), and HCV clinical remission (CR) (N=7). The concentrations of methadone and its main metabolite 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP) were determined with gas chromatography-mass spectrometry. The patients were genotyped for ABCB1 rs1045642, CYP2B6 rs3745274, CYP3A4 rs2242480, and CYP3A4 rs2740574 polymorphisms. Differences between single nucleotide polymorphism (SNP) genotypes and methadone-to-EDDP ratio were analysed with one-way ANOVA, which showed no significant difference between the genes (p=0.3772 for ABCB1 rs1045642, p=0.6909 for CYP2B6 rs3745274, and p=0.6533 for CYP3A4 rs2242480). None of the four analysed SNP genotypes correlated with methadone-to-EDDP concentration ratio. A major influence on it in hepatitis C-positive patients turned out to be the stage of liver damage.

Methadone Maintenance Treatment: A 15-year Retrospective Study in Split-Dalmatia County, Croatia.

BACKGROUND: The aim of this retrospective study is to use existing epidemiological data on patients in methadone maintenance treatment in Split-Dalmatia County from 2001 to 2015 to evaluate the substitution treatment system and policy of opiate addicts treatment, the epidemiological trend, and risk of overdose mortality. In addition, we would like to highlight the problem of poor control of methadone therapy and thus the possibility of selling methadone. The result is a greater number of deaths caused by methadone in people who were not in methadone therapy. METHODS: The research included data collected from 3189 patients who had been in the drug abuse treatment program in Split-Dalmatia County during 2001-2015 and data gathered from autopsy examinations of patients in Split-Dalmatia County with emphasis on data for 186 overdosed patients during research period. RESULTS: The total number of patients in the methadone treatment program in Split-Dalmatia County during the research period, except in 2005 and 2006, has been stable, while the number of new opiate patients, being in first-time treatment, decreased by 62.5%. The number of addicts who were in a long-term maintenance program has increased by 198%, whereas the number of addicts who were in a short-term detoxification treatment has decreased by 96.4%. According to results obtained from performed autopsies, 186 death cases were determined as overdoses. Methadone was found in 56 of those cases and was declared as the cause of death in 39 cases (70%). Of the total number of autopsied patients with diagnosed methadone overdose, only 23 (59%) had been recorded to receive methadone therapy in Public Health Institute of Split-Dalmatia County database. CONCLUSIONS: The results of this study show the favorable epidemiological trend because of the decreasing number of new opiate patients in treatment. The retention of opiate patients in substitution therapy indicates the effectiveness of methadone maintenance programs. Our research did not determine any influence of methadone substitution therapy on an increasing risk of specific (overdose) mortality.

Liver damage indices as a tool for modifying methadone maintenance treatment: a cross-sectional study.

AIM: To assess the effect of liver damage on methadone metabolism in opiate addicts undergoing methadone maintenance treatment (MMT). METHODS: This cross-sectional study recruited 74 patients treated at the outpatient clinic of Public Health Institute of Split-Dalmatia County from 2013-2016. Concentrations of methadone and its main inactive metabolite were measured in participants' biological samples on regular check-ups. Urine samples obtained before oral methadone intake, and blood and urine samples obtained 90 minutes after methadone intake were analyzed using gas chromatography/mass spectrometry. Participants were divided into groups according to liver damage criteria: hepatitis C virus status (positive, negative, or clinical remission); aspartate aminotransferase to platelet ratio (APRI) index (<0.7 and ≥0.7); and fibrosis-4 score (<1.45, 1.45-3.25, >3.25). RESULTS: Metabolic ratio and methadone metabolite concentration in plasma decreased linearly with HCV infection status by the factor of 1.67 (P=0.001) and 2.2 (P=0.043), respectively. Metabolic ratio in plasma decreased in patients with APRI index ≥0.7 by the average factor of 2.12 (P=0.01) and methadone metabolite concentration in plasma decreased by the factor of 6.16 (P=0.009). Metabolic ratio in urine decreased with the severity of fibrosis-4 score by the average factor of 1.63 (P=0.008), whereas methadone metabolite concentration decreased by the factor of 3.53 (P=0.007). CONCLUSION: Liver damage decreases methadone metabolism. Indices of liver function should be calculated regularly during MMT for methadone dose titration.