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Background:Alcohol and opiates are among the most addictive substances posing significant public health problems due to the biopsychosocial impact that they have on individuals. Research shows that majority of abstinent alcohol and/or opioid dependence subjects relapse within 1 year. It has also been estimated that 26–36 million people worldwide abuse opiates, with exceptionally high-relapse rates. The purpose of this study was to compare the sociodemographic factors and correlates relapse in alcohol dependence and opioid dependence.Methodology:This research uses a cross-sectional comparative study design with a sample size of 60 drawn from a population of clinically diagnosed patients of alcohol dependence (n = 30) or opioid dependence (n = 30) and seeking treatment for relapse. In addition to collecting sociodemographic data, other factors such as craving, affect, self-efficacy, and expressed emotions were measured using standardized instruments including brief substance craving scale, Bradburn affect balance scale, drug avoidance and self-efficacy scale and family emotional involvement, and conflict scale. The data were statistically analyzed.Results:Disparity in sociodemographic factors was seen in both the groups with opioid group being more likely to be single, unemployed, belonging to lower socioeconomic status, and having a criminal record (P = 0.025). Among factors associated with relapse, the opioid group scored significantly higher on craving, perceived criticism (P = 0.0001), and lower on self-efficacy (P = 0.016). Most common reason cited for relapse in both the groups was desire for positive mood.Conclusion:This study highlights the role of social determinants in drug dependence and relapse. Relapse was found to be a complex multifactorial phenomenon. Despite differences in presentation, somewhat similar relapse mechanisms were seen in both groups.

This review (with 210 references) summarizes recent developments in the design of voltammetric chemical sensors and biosensors based on the use of carbon nanomaterials (CNMs). It is divided into subsections starting with an introduction into the field and a description of its current state. This is followed by a large section on various types of voltammetric sensors and biosensors using CNMs with subsections on sensors based on the use of carbon nanotubes, graphene, graphene oxides, graphene nanoribbons, fullerenes, ionic liquid composites with CNMs, carbon nanohorns, diamond nanoparticles, carbon dots, carbon nanofibers and mesoporous carbon. The third section gives conclusion and an outlook. Tables are presented on the application of such sensors to voltammetric detection of neurotransmitters, metabolites, dietary minerals, proteins, heavy metals, gaseous molecules, pharmaceuticals, environmental pollutants, food, beverages, cosmetics, commercial goods and drugs of abuse. The authors also describe advanced approaches for the fabrication of robust functional carbon nano(bio)sensors for voltammetric quantification of multiple targets. Graphical Abstract Featuring execellent electrical, catalytic and surface properies, CNMs have gained enormous attention for designing voltammetric sensors and biosensors. Functionalized CNM-modified electrode interfaces have demonstrated their prominent role in biological, environmental, pharmaceutical, chemical, food and industrial analysis.

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A sensitive electrochemical sensor was fabricated based on two dimensional (2D) MoS 2 nanosheets (MoS 2 ), gold nanoparticles (AuNPs) and polypyrrole (PPY) nanocomposite modified glass carbon electrode (GCE) for glucose detection. Liquid phase exfoliation (LPE) method was applied for the synthesis of 2D MoS 2 nanosheets using N, N-dimethylformamide (DMF). The fabrication of sensor involved the electrochemical deposition of AuNPs on GCE using cyclic voltammetry (CV) followed by drop-casting of 2D MoS 2 nanosheets to prepare MoS 2 -AuNPs/GCE electrode. Pyrrole was then electropolymerized on MoS 2 -AuNPs/GCE surface using amperometry. The structural properties of prepared nancomposites were characterized by field emission scanning electron microscopy (FE-SEM), X-ray diffraction (XRD) and fourier transform infra red (FTIR) spectroscopic techniques. The prepared MoS 2 -PPY-AuNPs/GCE electrode was applied for electrochemical sensing of glucose by differential pulse voltammetry (DPV) in NaOH solution. Cu(II)/Cu(III) redox couple was utilized as catalytic center which converted glucose into gluconolactone at an oxidation potential of +0.45 V. The fabricated electrode showed a detection limit (LOD) of 0.08 nM and a quantification limit (LOQ) of 0.26 nM. Furthermore, it exhibited high reproducibility (2.48%), long term stability and high selectivity toward glucose detection. The electrode was found suitable for glucose detection in human serum samples with recoveries ranging from 97%-102.1%.