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This study introduced a pre-formal ontology matching approach using 39 identified dimensions to integrate drug information, improving database normalization and supporting complex use cases.

This collection from the 2021 Manfred Donike Workshop outlines advancements in doping detection, highlighting new test methods and challenges, with a focus on steroidal substances, peptide hormones, and gene doping analysis.

This study found that increasing a drug's lipophilicity and adding ethanol to the donor phase can enhance its delivery to the hair follicle, although the precise transport mechanism remains unclear.

This abstract compiles a comprehensive list of drug reactions and interactions across various pharmaceuticals but reports no specific research findings.

This study found that amphetamine was preferentially incorporated into black hair compared to white hair in Long-Evans rats, suggesting a role for drug basicity in hair color-based drug incorporation.

In this cross-sectional study at a hospital in Nandyala, researchers identified nine drugs with potential new uses, noting that Aspirin and Dapagliflozin were most frequently repurposed, and observed changes in indications, dosage, and frequency, suggesting further clinical validation is needed for safety and efficacy.

This study revealed significant signals of drug-related cognitive disorders in several medications that lack relevant FDA label warnings, suggesting a need for increased clinical awareness and potential label updates.

In this study, the stability properties of various active pharmaceutical ingredients (APIs) were characterized, revealing how factors like pressure and water sensitivity influence their intrinsic stability and potential degradation.

This study found that opiate use was particularly associated with personality and behavioral disorders, while cannabis and legal highs were linked to psychotic disorders, and legal highs with schizophrenia.

This study investigated the metabolic pathways of epristeride, a new Type II 5α‐reductase inhibitor, using in vitro models and found that its metabolites show significant interactions with key proteins, suggesting implications for its role in doping control.

This study developed and validated a gradient reversed-phase liquid chromatographic method to effectively measure Finasteride and its related impurities in pharmaceutical bulk drugs, demonstrating high linearity and precision.

This study reports that hair analysis could potentially monitor metformin use in diabetic patients, suggesting a possible correlation between daily dose and concentration in dark hair but not in light hair.

This study found that Minoxidil can interfere with hair drug analysis for cocaine by producing peaks that obscure the detection of cocaine and its metabolites in chromatograms.

This study reviewed the dosages of products approved in Japan from 2003-2010 and found that 28.1% were at different levels than in the U.S., with limited evidence suggesting different clinical responses.

This review discusses various strategies for drug repurposing in tuberculosis treatment, highlighting significant potential but reports no new clinical results.

Hair testing is a reliable method for detecting workplace drug use when done with proper sample preparation and confirmation.

This review examines the main absorption sites and influencing factors for orally administered drugs, highlighting variables such as solubility and gastrointestinal conditions that affect drug absorption in the small intestine and the development of effective drug delivery systems.

This study developed a rapid method using advanced chromatography and mass spectrometry to detect hair-growth enhancing compounds, discovering synthetic drugs in about 21% of tested supplements.

This study investigated the molecular mechanisms behind the formation of drug-polymer inclusion complexes and found that carbamazepine can self-assemble into stable channel structures without guest polymers, unlike griseofulvin, which requires guest molecules for structural stability.

In this study, researchers developed a reliable HPLC method to simultaneously estimate Finasteride and Tadalafil in marketed formulations, showing precise, linear results with confirmed degradation susceptibility under certain stress conditions.

This review discusses various chemical and instrumental methods for determining macrolides and reports no new experimental results.

This study found that porcine skin serves as a reliable model for studying drug absorption into human hair follicles, showing a strong correlation in follicular drug absorption between porcine and human skin.

This study used an in silico/in vitro approach to identify potential inhibitors of the enzyme SRD5A2, finding that the androgen receptor modulator MK-0773 is a moderate inhibitor, although it does not act as a covalent inhibitor like finasteride.

This article discusses the increasing trend of retargeting existing drugs for new indications and emphasizes the need for additional support in drug development, without reporting specific new results.

This article discusses fluconazole's pharmacological and physicochemical properties and methods for its analysis, but reports no new clinical results.

This infographic compares the safety profiles of SH‑1, a cosmetic ingredient, which showed no systemic absorption, and PP405, an investigational drug with dose-dependent systemic uptake and potential threshold breaches, highlighting differences in safety between cosmetic and investigational substances according to this report.

Caffeine in hair might help identify people, but it's not always reliable.

This review covers drug repurposing patent applications from April to June 2021, detailing potential new therapeutic uses for existing medications, but reports no new clinical results; the authors highlight novel treatment possibilities and suggest further research.

This study reported that a newly developed UHPLC-MS/MS method detected illegal synthetic hair-growth compounds in 10% of 76 hair-growth products, highlighting the need for ongoing monitoring to protect public health.

This study used machine learning to identify FDA-approved drugs afatinib, neratinib, and zanubrutinib as potential KRASG12C inhibitors for resistant non-small-cell lung cancer, highlighting the potential of AI in drug repurposing.