FDA Issues Warning About 'Gas Station Heroin'.

The highly addictive dietary supplement mimics opioid effects.

Accuracy of Labeling of Galantamine Generic Drugs and Dietary Supplements.

This study examines the accuracy of labeling for galantamine products formulated as both generic drugs and dietary supplements, as well as tests for contamination with microorganisms.

Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling Documents.

The US Food and Drug Administration (FDA) regulatory process often involves several reviewers who focus on sets of information related to their respective areas of review. Accordingly, manufacturers that provide submission packages to regulatory agencies are instructed to organize the contents using a structure that enables the information to be easily allocated, retrieved, and reviewed. However, this practice is not always followed correctly; as such, some documents are not well structured, with similar information spreading across different sections, hindering the efficient access and review of all of the relevant data as a whole. To improve this common situation, we evaluated an artificial intelligence (AI)-based natural language processing (NLP) methodology, called Bidirectional Encoder Representations from Transformers (BERT), to automatically classify free-text information into standardized sections, supporting a holistic review of drug safety and efficacy. Specifically, FDA labeling documents were used in this study as a proof of concept, where the labeling section structure defined by the Physician Label Rule (PLR) was used to classify labels in the development of the model. The model was subsequently evaluated on texts from both well-structured labeling documents (i.e., PLR-based labeling) and less- or differently structured documents (i.e., non-PLR and Summary of Product Characteristic [SmPC] labeling.) In the training process, the model yielded 96% and 88% accuracy for binary and multiclass tasks, respectively. The testing accuracies observed for the PLR, non-PLR, and SmPC testing data sets for the binary model were 95%, 88%, and 88%, and for the multiclass model were 82%, 73%, and 68%, respectively. Our study demonstrated that automatically classifying free texts into standardized sections with AI language models could be an advanced regulatory science approach for supporting the review process by effectively processing unformatted documents.

Verbal descriptors of the frequency of side effects: implementation of EMA recommendations in patient information leaflets in Poland.

BACKGROUND: The European Medicines Agency (EMA) recommends a description of drug side effects based on the frequency format and the associated verbal description. Although the recommendations refer to English-speaking countries, in several non-English-speaking states, official authorities have accepted the proposed recommendations on how the patient information leaflets should be designed for descriptions of side effect frequencies. OBJECTIVE: The aim of the study was to examine how manufacturers of authorized medicines in Poland implement the EMA recommendations regarding the verbal descriptors of the frequency of side effects. METHODS: A qualitative study. As a first step, we identified which of the 150 pharmaceutical companies operating in Poland had the largest market share. Then, five manufacturers were selected at random from the list of the top 15 drug manufacturers in Poland by market share of the pharmaceutical sector. Lists of medicinal products authorized for marketing in Poland were downloaded from manufacturers' websites, and then five products from each manufacturer were selected based on random sampling. The study included only prescription medicines and excluded over-the-counter medicines and dietary supplements from the sample. Subsequently, for each of the 25 drugs, relevant patient information leaflets were obtained from the manufacturers' websites. We evaluated how information on the frequency of side effects was provided in each leaflet, including the use of EMA-recommended terms (verbal descriptors such as 'very common,' 'common,' 'uncommon,' 'rare' and 'very rare') and additional notes explaining their meanings. RESULTS: For all manufacturers, word labels of the frequencies of side effects selected for the study were the same, but the additional notes explaining their meanings were different. There were various explanations of how to understand verbal descriptors of the frequency of side effects not only across different manufacturers but also across different medicines from one manufacturer. CONCLUSIONS: There is no single standard in the Polish pharmaceutical industry for implementing the EMA recommendations into the written information about the frequency of side effects. The observed differences for an explanation of how to understand a given verbal term do not favor a uniform interpretation of the verbal frequency labels meaning by patients.

Regulatory and clinical consequences of negative confirmatory trials of accelerated approval cancer drugs: retrospective observational study.

OBJECTIVES: To investigate the regulatory handling of cancer drugs that were granted accelerated approval by the US Food and Drug Administration (FDA) but failed to improve the primary endpoint in post-approval trials and to evaluate the extent to which negative post-approval trials changed the recommendations in treatment guidelines. DESIGN: Retrospective observational study. SETTING: FDA and National Comprehensive Cancer Network (NCCN) reports. INCLUDED DRUGS: Cancer drugs that received accelerated approval from the FDA and had negative post-approval trials. MAIN OUTCOME MEASURES: Regulatory outcomes, including withdrawal, conversion to regular approval, and no action. RESULTS: 18 indications for 10 cancer drugs that received accelerated approval but failed to improve the primary endpoint in post-approval trials were identified. Of these, 11 (61%) were voluntarily withdrawn by the manufacturer and one (bevacizumab for breast cancer) was revoked by the FDA. Of the 11 withdrawals, six occurred in 2021 alone. The remaining six (33%) indications remain on the label. The NCCN guidelines provide a high level of endorsement (category 1 endorsement for one and category 2A endorsement for seven) for accelerated approval drugs that have failed post-approval trials, sometimes even after the approval has been withdrawn or revoked. CONCLUSION: Cancer drug indications that received accelerated approval often remained on formal FDA approved drug labelling and continued to be recommended in clinical guidelines several years after statutorily required post-approval trials showed no improvement in the primary efficacy endpoint. Clinical guidelines should better align with the results of post-approval trials of cancer drugs that received accelerated approval.

Update on ICH E14/S7B Cardiac Safety Regulations: The Expanded Role of Preclinical Assays and the "Double-Negative" Scenario.

For nearly 2 decades, regulators have adopted a harmonized approach to drug development, which has succeeded in bringing new pharmaceuticals to market without significant cardiac liability. Ushered in by technological advancements and better understanding of cellular electrophysiology, the initial paradigm detailed in the 2005 International Conference for Harmonization E14 and S7B documents has undergone evolutionary changes designed to streamline drug development and improve regulatory decision-making and product labeling. The intent of this review is to summarize the new US Food and Drug Administration (FDA) Question and Answer update from August 2020 and key messaging from a subsequent FDA webinar describing best practices for preclinical and clinical data integration into a QT risk prediction model.

[Study on the Safety of Perinatal Medication].

We have been conducting research with the aim of generating evidence for the safety of perinatal drugs. As a result of reviewing the records of inquiries to the Drug Information Office of our hospital, we found a large discrepancy between the description of perinatal drugs in package inserts in Japan and the description of the Pregnancy Risk Category according to the U.S. Food and Drug Administration. In the Japan Environment and Children's Study (JECS), we determined the proportion of drug and supplement use among 97464 pregnant women. We clarified that prescriptions of antihypertensive drugs for pregnant women increased during the second half of pregnancy, while prescriptions of anti-epileptic and anti-anxiety drugs decreased after pregnancy using a claims database. A survey of pharmacists and pharmacy students revealed a lack of awareness of effective folic acid intake to reduce the risk of neural tube defects in infants. The percentage of pre-pregnancy folic acid supplementation among pregnant women participating in the Babies and their Parents' Longitudinal Observation in Suzuki Memorial Hospital on Intrauterine Period (BOSHI) study, the JECS, and the Tohoku Medical Megabank (TMM) Birth and Three-Generation (BirThree) cohort study was 6.3-18.0%. As a result of close examination of the records of inquiries to the Drug Information Office of our hospital, and of cases in which our lactation plan sheet was applied, it was found that there were discrepancies between the information on the drug package insert and the information on Medications & Mother's Milk, etc. in Japan. The results obtained have been clinically applied in daily practice and we are continuing our research while taking measures.

A Boxed Warning for Montelukast: The FDA Perspective.

The U.S. Food and Drug Administration (FDA) became aware of postmarketing reports of neuropsychiatric adverse events with Singulair (montelukast) use in 2007. Over the years, the FDA has conducted reviews of the clinical trial safety data, focused analyses of postmarketing reports, and reviews of the published literature. These activities have resulted in successive labeling updates and public communications. However, there has been continued concern among stakeholders about the risk of neuropsychiatric events and the lack of awareness among prescribers and patients/caregivers. On the basis of these concerns, the FDA embarked on another comprehensive review and also conducted a new observational study using claims data in the Sentinel Distributed Database. In September 2019, the FDA held a public Advisory Committee meeting to discuss its review and solicit recommendations from the panel regarding labeling and communication strategies. After careful consideration of the available data and feedback received during the FDA Advisory Committee meeting, the FDA required a boxed warning and a revision specifically for the allergic rhinitis indication to reserve use of montelukast to patients who have an inadequate response or intolerance to alternative therapies. Based on benefit-risk considerations, the asthma indication was not changed. To provide insight into the process and rationale for the required labeling changes, we provide an overview of the decision-making framework we used.

Food constituent- and herb-drug interactions in oncology: Influence of quantitative modelling on Drug labelling.

AIMS: Herbal products, spices and/or fruits are perceived as inherently healthy; for instance, St. John's wort (SJW) is marketed as a natural antidepressant and patients often self-administer it concomitantly with oncology medications. However, food constituents/herbs can interfere with drug pharmacokinetics, with risk of altering pharmacodynamics and efficacy. The objective of this work was to develop a strategy to prioritize herb- or food constituent-drug interactions (FC-DIs) to better assess oncology drug clinical risk. METHODS: Physiologically based pharmacokinetic (PBPK) models were developed by integrating in vitro parameters with the clinical pharmacokinetics of food constituents in grapefruit juice (bergamottin), turmeric (curcumin) or SJW (hyperforin). Perpetrator files were linked to verified victim PBPK models through appropriate interaction mechanisms (cytochrome P450 3A, breast cancer resistance protein, P-glycoprotein) and applied in prospective PBPK simulations to inform the likelihood and magnitude of changes in exposure to osimertinib, olaparib or acalabrutinib. RESULTS: Reported FC-DIs with oncology drugs were well recovered, with absolute average fold error values of 1.10 (bergamottin), 1.05 (curcumin) and 1.01 (hyperforin). Prospective simulations with grapefruit juice and turmeric showed clinically minor to insignificant changes in exposure (<1.50-fold) to acalabrutinib, osimertinib and olaparib, but predicted 1.57-fold FC-DI risk between acalabrutinib and curcumin. Moderate DDI risk was expected when acalabrutinib, osimertinib or olaparib were dosed with SJW. CONCLUSIONS: A model-informed decision tree based on mechanistic understanding of transporter and/or enzyme-mediated FC-DI is proposed based on bergamottin, curcumin and hyperforin FC-DI clinical data. Adopting this quantitative modelling approach should streamline herbal product safety assessments, assist in FC-DI management, and ultimately promote safe clinical use of oncology drugs.

A retrospective analysis of actionable pharmacogenetic/genomic biomarker language in FDA labels.

The primary goal of precision medicine is to maximize the benefit-risk relationships for individual patients by delivering the right drug to the right patients at the right dose. To achieve this goal, it has become increasingly important to assess gene-drug interactions (GDIs) in clinical settings. The US Food and Drug Administration (FDA) periodically updates the table of pharmacogenetic/genomic (PGx) biomarkers in drug labeling on their website. As described herein, an effort was made to categorize various PGx biomarkers covered by the FDA-PGx table into certain groups. There were 2 major groups, oncology molecular targets (OMT) and drug-metabolizing enzymes and transporters (DMETs), which constitute ~70% of all biomarkers (~33% and ~35%, respectively). These biomarkers were further classified whether their labeling languages could be actionable in clinical practice. For OMT biomarkers, ~70% of biomarkers are considered actionable in clinical practice as they are critical for the selection of appropriate drugs to individual patients. In contrast, ~30% of DMET biomarkers are considered actionable for the dose adjustments or alternative therapies in specific populations, such as CYP2C19 and CYP2D6 poor metabolizers. In addition, the GDI results related to some of the other OMT and DMET biomarkers are considered to provide valuable information to clinicians. However, clinical GDI results on the other DMET biomarkers can possibly be used more effectively for dose recommendation. As the labels of some drugs already recommend the precise doses in specific populations, it will be desirable to have clear language for dose recommendation of other (or new) drugs if appropriate.

Evaluating the Traditional Chinese Medicine (TCM) Officially Recommended in China for COVID-19 Using Ontology-Based Side-Effect Prediction Framework (OSPF) and Deep Learning.

ETHNOPHARMACOLOGICAL RELEVANCE: The novel coronavirus disease (COVID-19) outbreak in Wuhan has imposed a huge influence in terms of public health and economy on society. However, no effective drugs or vaccines have been developed so far. Traditional Chinese Medicine (TCM) has been considered as a promising supplementary treatment of this disease due to its clinically proven performance in many severe diseases, like severe acute respiratory syndrome (SARS). Meanwhile, many reports suggest that the side-effects (SE) of TCM prescriptions cannot be ignored in treating COVID-19 as it often leads to dramatic degradation of the patients' physical condition. Systematic evaluation of TCM regarding its latent SE becomes a burning issue. AIM: In this study, we used an ontology-based side-effect prediction framework (OSPF) developed from our previous work and Artificial Neural Network (ANN)-based deep learning, to evaluate the TCM prescriptions officially recommended by China for the treatment of COVID-19. MATERIALS AND METHODS: The OSPF developed from our previous work was implemented in this study, where an ontology-based model separated all ingredients in a TCM prescription into two categories: hot and cold. A database was created by converting each TCM prescription into a vector which contained ingredient dosages, corresponding hot/cold attribution and safe/unsafe labels. This allowed for training of the ANN model. A safety indicator (SI), as a complement to SE possibility, was then assigned to each TCM prescription. According to the proposed SI, from high to low, the recommended prescription list could be optimized. Furthermore, in interest of expanding the potential treatment options, SIs of other well-known TCM prescriptions, which are not included in the recommended list but are used traditionally to cure flu-like diseases, are also evaluated via this method. RESULTS: Based on SI, QFPD-T, HSBD-F, PMSP, GCT-CJ, SF-ZSY, and HSYF-F were the safest treatments in the recommended list, with SI scores over 0.8. PESP, QYLX-F, JHQG-KL, SFJD-JN, SHL-KFY, PESP1, XBJ-ZSY, HSZF-F, PSSP2, FFTS-W, and NHSQ-W were the prescriptions most likely to be unsafe, with SI scores below 0.1. In the additional lists of other TCM prescriptions, the indicators of XC-T, SQRS-S, CC-J, and XFBD-F were all above 0.8, while QF-Y, XZXS-S, BJ-S, KBD-CJ, and QWJD-T's indicators were all below 0.1. CONCLUSIONS: In total, there were 10 TCM prescriptions with indicators over 0.8, suggesting that they could be considered in treating COVID-19, if suitable. We believe this work could provide reasonable suggestions for choosing proper TCM prescriptions as a supplementary treatment for COVID-19. Furthermore, this work introduces a novel and informative method which could help create recommendation list of TCM prescriptions for the treatment of other diseases.

An overview on performance and image enhancing drugs (PIEDs) confiscated in Italy in the period 2017-2019.

CONTEXT: The illegal market of counterfeit and falsified medicines and supplements containing unlabeled pharmaceuticals is expanding worldwide. They are usually referred to by the term "performance and image enhancing drugs" (PIEDs) and are mainly steroids, stimulants, hormones, and drugs for erectile dysfunction. PIEDs are easily accessible through the online or black markets. We analyzed over 400 such medicines confiscated in Italy in the period 2017-2019, to determine their composition. METHODS: Confiscated products were analyzed by gas chromatography/mass spectrometry and liquid chromatography/high-resolution mass spectrometry, in order to ascertain their composition and to evaluate the correspondence between what was declared on the label and the actual content, or to identify unknown products. RESULTS: The most commonly found substance was anabolic steroids, found in 64% of products, with 11% containing hormone modulators, 6% stimulants, 6% sexual enhancers (mainly sildenafil) and other drugs, including thyroid hormones, melanin stimulators, and vitamins. These substances were often in mixtures. The products were often mislabeled, containing contaminants in addition to the drug declared, or consisted of a drug completely different from the one reported on the label. Fifteen percent of products had a qualitative composition completely different from that declared, while 10% of products showed cross-contamination with other drugs, mainly testosterone esters, probably due to the presence of residues of other drugs in the production line. In addition, 11% of products were not labeled, so their purported composition was unknown. DISCUSSION: PIEDs pose a threat to public health. The main risks are related to the intrinsic toxicity of the substances found, especially when taken without a therapeutic indication. Another issue is related to the mislabeling of the fake medicines, and the poor-quality standard of counterfeit product preparation, with additional risks of the presence of other toxic ingredients or microbial contamination. CONCLUSIONS: The use of counterfeit products is a public health concern, as it constitutes a high risk for consumer health. It is mainly caused by the uncontrolled use of steroids, stimulants, sexual enhancers, and other medicaments, without medical indication or supervision, with variable and unknown compositions and doses, as well as other contaminants as a result of the absence of good manufacturing practices.

Shark Cartilage Supplement Labeling Practices and Compliance with U.S. Regulations.

The objective of this study was to analyze labeling practices and compliance with regulatory standards for shark cartilage supplements sold in the United States. The product labels of 29 commercial shark cartilage supplements were assessed for compliance with U.S. regulations. Claims, including nutrient content, prohibited disease, and nutritional support statements, were examined for compliance and substantiation. Overall, 48.3% of the samples had at least one instance of noncompliance with labeling regulations. The most common labeling violations observed were: missing a domestic address/phone number, non-compliant nutrient content claim, missing/incomplete disclaimer, missing statement of identity, prohibited disease claims, and incomplete "Supplement Facts" label. The use of prohibited disease claims and nutritional support statements without the required disclaimer is concerning from a public health standpoint because consumers may delay seeking professional treatment for a disease. The results of this study indicate a need for improved labeling compliance among shark cartilage supplements.

Update on Biotin Therapy in Dermatology: Time for a Change.

Biotin (vitamin B7 or H) is found in milk, nuts, egg yolks, cereals, supplements, synthesized by intestinal bacteria, and is required for gluconeogenesis, fatty acid synthesis and amino acid catabolism.

[Situation analysis of off-label drug use in China].

To introduce current literature reporting situations of the off-label drug use(OLDU) by analyzing relevant literatures published in China, this study comprehensively focused on literatures about OLDU in China in seven Chinese and English databases, then extracted and analyzed the data by different literature types. A total of 667 papers were analyzed. The number of literatures about OLDU data analyzed in hospitals was 325, and the number of clinical studies relating to OLDU was 329, in which case series and case reports were the majority(69.91%). In addition, there were 13 expert consensuses of OLDU and another 56 studies about drug use based on the real-world data characteristics and influencing factors. The number of OLDU data studies has increased year by year. Based on the existing studies, there were more western medicine reports than traditional Chinese medicines, and OLDU types were mainly for over-dosage use. The literatures from OLDU data in hospital were mostly limited to one or several tertiary hospitals in a certain area, and the OLDU types were not uniform. Clinical studies were mainly clinical control trials and case series/reports, but with contradictory reporting results. There were fewer OLDU consensus, and the recommended classification was not uniform. The characteristics and analysis of influencing factors of drug using data in real-world focused on traditional Chinese medicine injections, and the results were not the same. In the future, we shall pay more attention to and strengthen reporting and analysis of OLDU, define study objectives, and unify the content and reporting standards, so as to promote the integrated utilization of OLDU data and reflect real situations in our country.

Tagraxofusp and anti-CD123 in blastic plasmacytoid dendritic cell neoplasm: a new hope.

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare hematological malignancy, characterized by poor prognosis if treated with conventional therapy. Allogenic hematologic stem cell transplant can improve survival and can be curative, but it is available in a small percentage of patients given that the median age at diagnosis is 70 years. In this scenario it is assumed that only the development of precision medicine-driven therapy will change BPDCN patient prognosis. CD123 (the α-subunit of interleukin (IL)-3 receptor) is over-expressed on BPDCN cells surface and seems to be the ideal marker to develop antibody-based therapies. Tagraxofusp (Elzonris®), a recombinant immunotoxin consisting of human interleukin-3 fused to a truncated diphtheria toxin, has been approved by FDA in December 2018 for the treatment of BPDCN in adult and pediatric patients. tagraxofusp has shown promising clinical activity, with a high overall response rate and quite manageable safety profile even in elderly patients. It seems to improve overall survival too, but comparative trials are necessary to confirm this. Adverse events are commonly reported and the most important are transaminitis, thrombocytopenia and capillary leak syndrome (CLS). Therefore, to prevent the onset of severe CLS is recommended to reserve tagraxofusp for patients with preserved hepatic and cardiac functions, and to strictly observe serum albumin level. Further studies are required to resolve many several unanswered questions about tagraxofusp. In this review, we will resume and discuss pharmacological characteristic of tagraxofusp, results of clinical trials leading to its approval by FDA in 2018 and future perspectives about its use in BPDCN and other hematological malignancies.