Search Results (26)

Background/Objectives: Although therapeutic use of medicinal marijuana by patients in Poland became legal in 2017, there remains doubt among primary care physicians (PCPs) related to prescribing medicinal marijuana to their patients. In this study, we aimed to investigate the attitudes of family physicians and the systemic barriers that influence doctors’ therapeutic decisions with respect to prescribing medicinal marijuana. Methods: A 28-question survey was administered to a representative group of PCPs in the Lublin province of Poland. Statistical analysis of the answers of 293 (out of 301) respondents enabled us to determine the PCPs’ levels of knowledge about medicinal marijuana and their willingness to prescribe this type of therapy for their patients. Results: Only 32.3% of the surveyed PCPs had encountered patients who experienced symptoms associated with medicinal marijuana use. The two groups of symptoms most frequently reported by these PCPs were emotional agitation or playfulness (50.8%) and psychomotor retardation, drowsiness, and catatonia (25.4%). Only 41.0% of the surveyed PCPs perceived risks associated with prescribing medicinal marijuana to their patients, including the possibility of patients abusing medicinal marijuana, leading to addiction; sanctions from national regulatory bodies; trade in prescriptions (so-called “counterfeit prescriptions”); a lack of control over the resale of drugs by patients; and the absence of recommendations or guidelines for the use of medicinal marijuana. Our findings also demonstrate that only 5.2% of the surveyed PCPs had already prescribed medicinal marijuana in their professional practices. Conclusions: Limited willingness among PCPs to prescribe medicinal marijuana is primarily due to insufficient knowledge among physicians about the therapeutic effects of medicinal marijuana, its potential adverse effects, the legal framework for prescribing medications, and associated uncertainties. Full article

Pharmacotherapy is a key component of obesity management, yet treatment failure remains a prevalent challenge in clinical practice. Such failure may present as insufficient pharmacological response, early discontinuation, or post-treatment weight regain, underscoring the discrepancy between clinical trial efficacy and real-world outcomes. The effectiveness of anti-obesity medications (AOMs) is influenced by psychiatric comorbidities, including depression, anxiety, and disordered eating patterns, as well as environmental and socioeconomic factors such as limited healthcare access, weight-related stigma, and high medication costs. Individual characteristics, including physical activity, body composition, visceral adiposity, and microbiome profile, further modulate treatment outcomes. Pharmacokinetic and pharmacotherapeutic limitations such as drug-phenotype mismatch, route of administration, suboptimal formulations, and exposure to counterfeit products also compromise efficacy. No less important are genetic and immunological factors, comprising pharmacogenomic variants of both incretin and melanocortin receptors along with antidrug antibodies (ADAs), which may constitute therapy resistance. Concomitant medications and comorbid endocrine disorders can additionally attenuate weight-loss effects. The objective of this review is to characterize the multifactorial nature of resistance and refractoriness to anti-obesity therapy, and the importance of identifying pretreatment predictive factors for recognizing individuals at risk of inadequate or lack of response, thereby enabling personalized management strategies and improving long-term clinical outcomes, particularly in “difficult-to-treat” patients. Full article

This paper presents a hybrid fabrication method for producing anti-counterfeit optical elements on plastic products and surfaces targeting multidiscipline applications such as food, pharmaceuticals, luxury goods, and electronics industry. Our proposition combines the design flexibility and rapid prototyping capabilities of stereolithography three-dimensional (SLA 3D) printing with nanoimprint lithography (NIL) to create unique optical security tags onto plastic surfaces. The proposed approach is cost-effective, scalable, and tailored for mass production, addressing the increasing demand for secure and reliable authentication solutions. NIL is substrate agnostic, offering material selection versatility and realization of security tags onto polymer surfaces, which are widely used across various sectors such as packaging industry, medical devices, and flexible electronics. This enables integration into a wide range of materials, further enhancing applicability on flat and 3D shape surfaces. An evaluation method based on digital reconstruction has been used to ensure robust performance and verification of the produced optical security features. The results demonstrate that this hybrid approach provides a reproducible and technically feasible path for the development of optical anti-counterfeiting tags suitable for large-scale implementation, particularly within fast-moving consumer goods (FMCG). Full article

The global unregulated drug supply faces a critical challenge with the emergence of nitazenes, a class of novel synthetic opioids (NSOs) structurally distinct from fentanyl and associated with extreme potency and high risk of fatal overdose. First synthesised in the late 1950s, etonitazene was a target of preclinical research in rats and rhesus monkeys, but it never reached clinical trials due to an unfavourable balance between therapeutic and toxic effects. Nitazenes’ consistent reappearance began in 2019 with isotonitazene, followed by a rapid proliferation of analogues worldwide, many reported to be hundreds to thousands of times more potent than morphine and, in some cases, stronger than fentanyl. This rise is fuelled by their ease of synthesis, low production costs, and evasion of regulatory controls. Nitazenes are frequently mis-sold as counterfeit medications or adulterated into other drugs, resulting in unintentional exposure and overdose, particularly among opioid-naïve users. The primary cause of death is severe and prolonged respiratory depression. Analytical challenges are significant, as traditional screening methods are ineffective, and the low concentration in biological samples requires expensive and highly sensitive liquid chromatography mass spectrometry techniques. This perspective paper highlights critical gaps in detection, clinical management, and regulatory readiness for nitazenes. Urgent efforts are needed to improve surveillance, develop robust analytical methodologies, provide clinical guidance to nitazene intoxications, and strengthen international policy to curb their proliferation. Full article

Ultraviolet (UV) and blue-light photodetectors are vital in environmental monitoring, medical and biomedical applications, optical communications, and security and anti-counterfeiting technologies. However, conventional silicon-based devices suffer from limited sensitivity to short-wavelength light due to their narrow indirect bandgap. In this study, we investigate the influence of precursor concentration on the structural, optical, and photoresponse characteristics of nanostructured CdS thin films synthesized via chemical bath deposition. Among the CdS samples prepared at different precursor concentrations, the best photoresponsivity of 21.1 mA/W was obtained at 2 M concentration. Subsequently, a p–n heterojunction photodetector was fabricated by integrating a spin-coated CuSCN layer with the optimized CdS nanostructure. The resulting device exhibited pronounced rectifying behavior with a rectification ratio of ~750 and an ideality factor of 1.39. Under illumination and a 5 V bias, the photodetector achieved an exceptional responsivity exceeding 10⁴ A/W in the UV region—over six orders of magnitude higher than that of CdS-based metal–semiconductor–metal devices. This remarkable enhancement is attributed to the improved light absorption, efficient charge separation, and enhanced hole transport enabled by CuSCN incorporation and heterojunction formation. These findings present a cost-effective, solution-processed approach to fabricating high-responsivity nanostructured photodetectors, promising for future applications in smart healthcare, environmental surveillance, and consumer electronics. Full article

Background/Objectives: Medical leech (Hirudo in the Chinese Pharmacopoeia) is renowned in traditional medicine for its significant antithrombin activity. As an animal-derived medicine with complex and incompletely understood composition, its insufficient quality control measures are met with widespread counterfeiting caused by limited animal resources and rising demand. Methods: In this study, an integrated quality evaluation strategy guided by “Totality of the Evidence” (TOE) method is proposed. This strategy combines chemical characterization of small and macromolecular components with bioassays relevant to its clinical functions. A total of 28 batches of samples were analyzed, comprising 23 genuine and 5 counterfeit batches. Species origins were identified by morphology and DNA barcoding. Chemical characterization included TLC, HPLC and UPLC-QTOF-MS/MS for small molecules, and SDS-PAGE with HPLC-Orbitrap Fusion Lumos Tribrid-MS for macromolecules. Antithrombotic activity was assessed by thrombin titration and platelet aggregation assays. Results: Several characteristic components were discovered and identified as key quality control markers, including eight small molecules such as an unreported compound SZ-1, plus seven major differential proteins across species. Based on these markers, accurate and rapid authentication methods were established using SDS-PAGE for macromolecules, and both HPLC and TLC for small molecules. Furthermore, using bioassay methods we established for quality evaluation, Hirudo nipponica exhibits potent anti-thrombin activity and inhibits platelet aggregation, while Whitmania pigra shows weak anti-thrombin activity and promotes platelet aggregation. Conclusions: This quality evaluation strategy is not only applicable for the quality assessment of genuine Hirudo products of different origins, but also for distinguishing medical leeches from their counterfeits. Full article

Hyperspectral imaging (HSI) is an advanced imaging technique that captures detailed spectral information across multiple fields. This review explores its applications in counterfeit detection, remote sensing, agriculture, medical imaging, cancer detection, environmental monitoring, mining, mineralogy, and food processing, specifically highlighting significant achievements from the past five years, providing a timely update across several fields. It also presents a cross-disciplinary classification framework to systematically categorize applications in medical, agriculture, environment, and industry. In counterfeit detection, HSI identified fake currency with high accuracy in the 400–500 nm range and achieved a 99.03% F1-score for counterfeit alcohol detection. Remote sensing applications include hyperspectral satellites, which improve forest classification accuracy by 50%, and soil organic matter, with the prediction reaching R² = 0.6. In agriculture, the HSI-TransUNet model achieved 86.05% accuracy for crop classification, and disease detection reached 98.09% accuracy. Medical imaging benefits from HSI’s non-invasive diagnostics, distinguishing skin cancer with 87% sensitivity and 88% specificity. In cancer detection, colorectal cancer identification reached 86% sensitivity and 95% specificity. Environmental applications include PM2.5 pollution detection with 85.93% accuracy and marine plastic waste detection with 70–80% accuracy. In food processing, egg freshness prediction achieved R² = 91%, and pine nut classification reached 100% accuracy. Despite its advantages, HSI faces challenges like high costs and complex data processing. Advances in artificial intelligence and miniaturization are expected to improve accessibility and real-time applications. Future advancements are anticipated to concentrate on the integration of deep learning models for automated feature extraction and decision-making in hyperspectral imaging analysis. The development of lightweight, portable HSI devices will enable more on-site applications in agriculture, healthcare, and environmental monitoring. Moreover, real-time processing methods will enhance efficiency for field deployment. These improvements seek to enhance the accessibility, practicality, and efficacy of HSI in both industrial and clinical environments. Full article

Malaria primarily affects developing nations and is one of the most destructive and pervasive tropical parasite infections. Antimalarial drug resistance, characterized by a parasite’s ability to survive and reproduce despite recommended medication doses, poses a significant challenge. Along with resistance to antimalarial drugs, the rate of mutation a parasite undergoes, overall parasite load, drug potency, adherence to treatment, dosing accuracy, drug bioavailability, and the presence of poor-quality counterfeit drugs are some of the contributing factors that elicit opposition to treatment. The ubiquitin-proteasome system (UPS) has become a promising drug target for malaria because of its central importance in the parasite’s life cycle and its contribution to artemisinin resistance. Polymorphisms in the Kelch13 gene of Plasmodium falciparum are the best-known markers for artemisinin resistance and are associated with a highly active UPS. Certain proteasome inhibitors, which are the other key players of the UPS, have demonstrated activity against malarial parasites and the ability to work with artemisinin. This work describes how, through targeting the UPS, the greater effectiveness of antimalarial drugs—especially where there is strong resistance—can be achieved, which contributes to overcoming the drug resistance phenomenon in malaria. Full article

The global prevalence of counterfeit and low-quality pharmaceuticals poses significant health risks and challenges in medical treatments, creating a need for rapid and reliable drug screening technologies. This study introduces a cost-effective electrochemical paper-based device (ePAD) modified with functionalized bamboo-derived biochar (BCF) for the detection of paracetamol in substandard medicines. The sensor was fabricated using a custom 3D-printed stencil in PLA, designed for efficient production, and a 60:40 (m/m) graphite (GR) and glass varnish (GV) conductive ink, resulting in a robust and sensitive platform. The electroactive area of the ePAD/BCF sensor was determined as 0.37 cm². Characterization via SEM and cyclic voltammetry (CV) verified its structural and electrochemical stability. The sensor demonstrated linear detection of paracetamol from 5.0 to 60.0 µmol L⁻¹ with a detection limit of 3.50 µmol L⁻¹. Interference studies showed high selectivity, with recoveries of over 90%, and the sensor successfully quantified paracetamol in commercial analgesic and anti-flu samples. This sustainable, bamboo-based ePAD offers a promising solution for rapid on-site pharmaceutical quality control, with significant potential to enhance drug screening accuracy. Full article

Although Three-dimensional (3D) printers have legitimate applications in various fields, they also present opportunities for misuse by criminals who can infringe upon intellectual property rights, manufacture counterfeit medical products, or create unregulated and untraceable firearms. The rise of affordable 3D printers for general consumers has exacerbated these concerns, making it increasingly vital for digital forensics investigators to identify and analyze vital artifacts associated with 3D printing. In our study, we focus on the identification and analysis of digital forensic artifacts related to 3D printing stored in both Linux and Windows operating systems. We create five distinct scenarios and gather data, including random-access memory (RAM), configuration data, generated files, residual data, and network data, to identify when 3D printing occurs on a device. Furthermore, we utilize the 3D printing slicing software Ultimaker Cura version 5.7 and RepetierHost version 2.3.2 to complete our experiments. Additionally, we anticipate that criminals commonly engage in anti-forensics and recover valuable evidence after uninstalling the software and deleting all other evidence. Our analysis reveals that each data type we collect provides vital evidence relating to 3D printing forensics. Full article

Toad Venom (TV) is the dried product of toxic secretions from Bufo bufo gargarizans Cantor (BgC) or B. melanostictus Schneider (BmS). Given the increasing medical demand and the severe depletion of wild toads, a number of counterfeit TVs appeared on the market, posing challenges to its quality control. In order to develop an efficient, feasible, and comprehensive approach to evaluate TV quality, a thorough analysis and comparison of chemical compounds among legal species BgC and BmS, as well as the main confusion species B. andrewsi Schmidt (BaS) and B. raddei Strauch (BrS), were conducted by ultra-performance liquid chromatography–quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS), high performance liquid chromatography (HPLC), sodium dodecylsulfate-polyacrylamide gel electrophoresis (SDS-PAGE), and Nano LC-MS/MS analyses. We identified 126 compounds, including free or conjugated bufadienolides, indole alkaloids and amino acids, among the four Bufo species. The content of main bufadienolides, such as gamabufotalin, bufotalin, bufalin, cinobufagin, and resibufogenin, and the total protein contents varied widely among 28 batches of TV due to their origin species. The sum of the five bufadienolides within the BgC, BmS, BaS, and BrS samples were 8.15–15.93%, 2.45–4.14%, 11.15–13.50%, and 13.21–14.68%, respectively. The total protein content of BgC (6.9–24.4%) and BaS (19.1–20.6%) samples were higher than that of BmS (4.8–20.4%) and BrS (10.1–13.7%) samples. Additionally, a total of 1357 proteins were identified. There were differences between the protein compositions among the samples of the four Bufo species. The results indicated that BgC TV is of the highest quality; BaS and BrS TV could serve as alternative resources, whereas BmS TV performed poorly overall. This research provides evidence for developing approaches to evaluate TV quality and selecting the proper Bufo species as the origin source of TV listed in the Chinese pharmacopoeia. Full article

The worsening of antibiotic resistance is a multifactorial process. One aspect of this is the counterfeiting of antibiotic medications. This is supposed to be particularly high in developing countries, including Nigeria. Therefore, the potency of some antibiotic drugs dispensed in community pharmacies in Gwale, Kano, Nigeria, was investigated in this case study. Three products, each from different manufacturers, with the active ingredients of ceftriaxone, gentamicin, ciprofloxacin, and metronidazole, respectively, were included in this study. By means of a disc-diffusion assay, the effect against the typed strains Staphylococcus aureus (ATCC 25923) and Escherichia coli (ATCC 25922) as well as Clostridium tetani isolated from soil was tested. Clinical isolates of S. aureus and E. coli were also used. While antibiotics, with the exception of ciprofloxacin-containing preparations against C. tetani, showed acceptable efficacy against the typed strains by comparison with the clinical science laboratory references, a predominant failure was observed with the clinical isolates. Thus, the investigated drug preparations can be considered of acceptable quality for the treatment of susceptible bacterial infections. This excludes counterfeits in the sampled preparations. However, the insufficient efficacy against clinical isolates further documents the severity of nosocomial bacteria. Full article

Prostaglandins have stimulative influence on the human uterus and therefore were introduced to medical treatment in reproductive healthcare as labor inductors or abortifacients. The UHPLC-ESI-QqQ-MS/MS method was developed for six prostaglandins: carboprost, cloprostenol, dinoprost (PGF2α), dinoprostone (PGE2), misoprostol and sulprostone (substances for pregnancy termination) in pharmaceutical samples and was applied for the toxicological examination of pills containing misoprostol (collected during gynecological examination). There were used two internal standards: misoprostol-d₅ and PGF2α-d₄. The quantification of analytes was performed in the MRM mode. The linearity of method was in the range from 0.1 to 10 µg/mL, with a coefficient of determination above 0.997 (R²) for each compound. The precision and accuracy values did not exceed ±5.0%. Analysis of the pills revealed the presence of two substances: misoprostol and diclofenac. Misoprostol and diclofenac dose per sample were as follows: 608.8 ng (sample 1), 708.4 ng (sample 2), 618.8 ng (sample 3) and 67.7 mg (sample 1), 65.3 mg (sample 2) 67.3 mg (sample 3), respectively. A simple, precise and reliable method can be applied for routine examinations in terms of clinical and forensic toxicology examinations as well as in quality control of drugs for pharmaceutical purposes (original drugs and counterfeit medications). Full article

The increasingly pervasive problem of counterfeiting affects both individuals and industry. In particular, public health and medical fields face threats to device authenticity and patient privacy, especially in the post-pandemic era. Physical unclonable functions (PUFs) present a modern solution using counterfeit-proof security labels to securely authenticate and identify physical objects. PUFs harness innately entropic information generators to create a unique fingerprint for an authentication protocol. This paper proposes a facile protein self-assembly process as an entropy generator for a unique biological PUF. The posited image digitization process applies a deep learning model to extract a feature vector from the self-assembly image. This is then binarized and debiased to produce a cryptographic key. The NIST SP 800-22 Statistical Test Suite was used to evaluate the randomness of the generated keys, which proved sufficiently stochastic. To facilitate deployment on physical objects, the PUF images were printed on flexible silk-fibroin-based biodegradable labels using functional protein bioinks. Images from the labels were captured using a cellphone camera and referenced against the source image for error rate comparison. The deep-learning-based biological PUF has potential as a low-cost, scalable, highly randomized strategy for anti-counterfeiting technology. Full article

Background: An innovative approach of Norm Balance is proposed under the Theory of Planned Behavior (TPB). In this approach, the measurement score of subjective norm is weighted by the relative importance of others, and the measurement score of self-identity is weighted by the relative importance of self. The study objective was to examine the effect of Norm Balance to predict behavioral intentions in two groups of college students. Methods: Cross-sectional surveys were used in two studies. For 153 business undergraduates, Study 1 examined three common intentions: eating a low-fat diet, exercising regularly, and dressing business-like. For 176 PharmD students, Study 2 examined three pharmacy-related intentions: informing relatives about counterfeit medications, buying prescription medications online, and completing a pharmacy residency. The relative importance of others vs. self was measured by asking study subjects to allocate 10 points between important others and oneself. Two sets of regressions were conducted and compared across six intentions using the traditional model and the Norm Balance model. Results: The 12 regressions explained 59–77% of intention variance. The variance explained by the two models was similar. When subjective norm or self-identity was non-significant in the traditional model, the corresponding Norm Balance component was significant in the Norm Balance model, except for eating a low-fat diet. When both subjective norm and self-identity were significant in the traditional model, the two Norm Balance components were significant in the Norm Balance model with increased coefficients. Conclusions: The proposed approach of Norm Balance provides a different view about the significance and coefficients of subjective norm and self-identity toward intention prediction. Full article