Overview of the seized and examined pharmaceutical in the state of Minas Gerais-Brazil by the Civil Police from 2017 to 2022: A fundamental analysis of the recent impact over the drugs market.

This work presents a data survey regarding the qualitative chemical analysis of drugs seized by the Police in the state of Minas Gerais between July 2017 and June 2022, including an evaluation of labeling of 265 samples of anabolic androgenic steroids (AAS) seized in 2020. The Active Pharmaceutical Ingredients (API) present in the samples were identified through chemical analysis and classified by system Anatomical Therapeutic Chemical (ATC) methods. Analysis of the labeling information for 265 samples of AAS followed the guidance of legislation RDC 71 (2009) from ANVISA. For this study 6355 seized pharmaceuticals underwent qualitative chemical analysis that corresponded to 7739 APIs successfully identified and classified. Among the components studied AAS, psychostimulants, anesthetics, and analgesics were the most commonly examined. AAS seized and tested increased by over 100% and for the majority of the samples analyzed were found to not match the labeling on the packaging. In the meantime, anti-obesity drugs presented a prominent increase of 400% from 2020/1 to 2021/2, during covid-19 quarantine. Seized pharmaceuticals and tests can support information in the planning of public health and safety policies.

Coupling of NIR Spectroscopy and Chemometrics for the Quantification of Dexamethasone in Pharmaceutical Formulations.

Counterfeit or substandard drugs are pharmaceutical formulations in which the active pharmaceutical ingredients (APIs) have been replaced or ingredients do not comply with the drug leaflet. With the outbreak of the COVID-19 pandemic, fraud associated with the preparation of substandard or counterfeit drugs is expected to grow, undermining health systems already weakened by the state of emergency. Analytical chemistry plays a key role in tackling this problem, and in implementing strategies that permit the recognition of uncompliant drugs. In light of this, the present work represents a feasibility study for the development of a NIR-based tool for the quantification of dexamethasone in mixtures of excipients (starch and lactose). Two different regression strategies were tested. The first, based on the coupling of NIR spectra and Partial Least Squares (PLS) provided good results (root mean square error in prediction (RMSEP) of 720 mg/kg), but the most accurate was the second, a strategy exploiting sequential preprocessing through orthogonalization (SPORT), which led (on the external set of mixtures) to an R2pred of 0.9044, and an RMSEP of 450 mg/kg. Eventually, Variable Importance in Projection (VIP) was applied to interpret the obtained results and determine which spectral regions contribute most to the SPORT model.

Analysis of pharmacovigilance databases for spontaneous reports of adverse drug reactions related to substandard and falsified medical products: A descriptive study.

Introduction: The public health threat of substandard and falsified medicines has been well known in the last two decades, and several studies focusing on the identification of products affected and preventing consumption have been published. However, the number of these products reaching patients and causing health consequences and adverse drug reactions is not a well-researched area. Objectives: Our aim was to identify and describe the characteristics of cases that are related to adverse drug reactions potentially originating from counterfeit medication using publicly available pharmacovigilance data. Methods: A descriptive study was performed based on pharmacovigilance data retrieved from Individual Case Safety Reports (ICSRs) identified in the European Medicines Agency's EudraVigilance and FDA Adverse Event Reporting System (FAERS) databases in April 2022 using selected MedDRA preferred terms: counterfeit product administered, product counterfeit, product label counterfeit, product packaging counterfeit, suspected counterfeit product, adulterated product, product tampering, and suspected product tampering. ICSRs were analyzed by age and gender, by year of reporting, region of origin, reporter's profession, and severity of the outcome. The disproportionality method was used to calculate pharmacovigilance signal measures. Results: A total of 5,253 cases in the FAERS and 1,049 cases in the EudraVigilance database were identified, generally affecting middle-aged men with a mean age of 51.055 (±19.62) in the FAERS and 64.18% of the cases between 18 and 65 years, while the male to female ratios were 1.18 and 1.5. In the FAERS database, we identified 138 signals with 95% confidence interval including sildenafil (n = 314; PRR, 12.99; ROR, 13.04; RRR, 11.97), tadalafil (n = 200; PRR, 11.51; ROR, 11.55; RRR, 10.94), and oxycodone (n = 190; PRR, 2.47; ROR, 2.14; RRR, 2.47). While in the EV data 31, led by vardenafil (n = 16, PRR = 167.19; 101.71-274.84; 95% CI, RRR = 164.66; 100.17-270.66; 95% CI, ROR = 169.47; 103.09-278.60; 95% CI, p < 0.001), entecavir (n = 46, PRR = 161.26, RRR = 154.24, ROR = 163.32, p < 0.001), and tenofovir (n = 20, PRR = 142.10, RRR = 139.42, ROR = 143.74, p < 0.001). Conclusion: The application of pharmacovigilance datasets to identify potential counterfeit medicine ADRs can be a valuable tool in recognition of potential risk groups of consumers and the affected active pharmaceutical ingredients and products. However, the further development and standardization of ADR reporting, pharmacovigilance database analysis, and prospective and real-time collection of potential patients with health consequences are warranted in the future.

Substandard and falsified medical product recalls in Zambia from 2018 to 2021 and implications on the quality surveillance systems.

Background: Substandard and falsified (SF) medical products are removed from circulation through a process called 'product recall' by medicines regulatory agencies. In Zambia, the Zambia Medicines Regulatory Authority (ZAMRA) is responsible for recalling SF medical products from the Zambian market through passive and active surveillance methods. This study aimed to describe the prevalence of recalls of SF medical products and to analyse the frequently recalled therapeutic categories, dosage forms, categories of defects that led to the recalls and their sources with respect to the country of the marketing authorisation holder (MAH) or manufacturer. Methods: We conducted a descriptive cross-sectional review of the product recalls issued by ZAMRA between January 2018 and December 2021. A search for all medical product alerts and recalls issued by ZAMRA was carried out by reviewing the internal post-marketing surveillance database kept at ZAMRA headquarters. Data were extracted using a structured Excel database and analysed using Microsoft Excel. Results: A total of 119 alerts were received during the review period, of which 83 (69.7%) were product recalls. Oral solid dosage forms were the most recalled dosage form (53%). Furthermore, the number of recalls increased in 2020 (44.6%) and 2021 (22.9%), with the majority (20.5%) of the recalled products being substandard products classified as antiseptics and disinfectants and were attributed to the high demand during the COVID-19 pandemic. Manufacturing laboratory control issues were the reason for product recall in almost half (47.4%) of the cases. Most of the products recalled originated from India (38.6%), followed by Zambia (25.3%). Only one suspected falsified product was recalled between 2018 and 2021. A total of 66 recalls of the 83 products were initiated by ZAMRA, with only 17 voluntarily by foreign MAHs. No product recall was initiated by the local representatives of foreign manufacturers or MAH. Conclusion: The majority of the pharmaceutical product recalls in Zambia were substandard products. Manufacturing laboratory control issues lead to most recalls and require investigation of the root causes, preventive action, and strict compliance with the good manufacturing practices guidelines by manufacturers.

Policies and Social Advantages toward a New Normal : A Case Study of Handling the COVID-19 Pandemic in Indonesia

The COVID-19 pandemic has profoundly negative impacts on people’s lives and has challenged national leadership to take necessary measures to solve it. The Indonesian government has been confronted with issues such as health services, case detection, the financial capacity of the state, and the decline of economic activity. This study aimed to examine the policies and social advantages of “the new normal” as a case study of handling the COVID-19 pandemic in Indonesia. This was a qualitative study using primary and secondary data. The study showed that the government’s responses were ineffective and insufficient for preparing contingency measures. Poor coordination between central and regional governments has also been observed as a public concern. The central government decided to implement a large-scale social distancing policy instead of imposing a total lockdown due to its massive financial burden on the government. While making the policies, the central government was concerned more with political and economic considerations and prohibited regional governments from imposing local lockdown policies, unless permitted by the central government. This situation allegedly resulted in substandard protection of the people from the pandemic. The central government’s budgeting policy also failed to put more emphasis on the public health services because the budget for the health sector was lower than the budget for economic recovery and social assistance. However, notwithstanding the government’s unproductive policies in handling the pandemic, Indonesian people have mutual assistance culture as a social advantage. Through such social capital, people were driven to help each other, especially regarding social and economic assistance to the affected people. Contrarily, mutual awareness may have driven people to refrain from doing activities in public areas and to stay at home to stop the spread of COVID-19. It boosted the social endurance of the people in dealing with the pandemic toward a new normal.

Tackling the global impact of substandard and falsified and unregistered/unlicensed anti-tuberculosis medicines.

Substandard and falsified (SF) medicines are a global health challenge with the World Health Organization (WHO) estimating that 1 in 10 of medicines in low- and middle-income countries (LMICs) are SF. Antimicrobials (i.e. antimalarials, antibiotics) are the most commonly reported SF medicines. SF medicines contribute significantly to the global burden of infectious diseases and antimicrobial resistance (AMR). This article discusses the challenges associated with the global impact of SF and unregistered/unlicensed antimicrobials with a focus on anti-TB medicines. Tuberculosis (TB) is the 13th leading cause of death worldwide, and is currently the second leading cause of death from a single infectious agent, ranking after COVID-19 and above HIV/AIDS. Specifically in the case of TB, poor quality of anti-TB medicines is among the drivers of the emergence of drug-resistant TB pathogens. In this article, we highlight and discuss challenges including the emergence of SF associated AMR, patient mistrust and lack of relevant data. We also present study reports to inform meaningful change. Recommended solutions involve the adaptation of interventions from high-income countries (HICs) to LMICS, the need for improvement in the uptake of medication authentication tools in LMICs, increased stewardship, and the need for global and regional multidisciplinary legal and policy cooperation, resulting in improved legal sanctions.

An exploratory assessment of the legislative framework for combating counterfeit medicines in South Africa.

BACKGROUND: Substandard and Falsified (SF) medical products are a growing global concern. They harm the individual patient, the healthcare system and the economy. The World Health Organisation (WHO) has highlighted contributing factors globally: insufficient national medicine regulation, poor enforcement of existing legislation, weak stakeholder collaboration and the rise of novel viruses, such as the COVID-19. The study aimed to assess the legislative and policy framework and institutional relationships governing pharmaceuticals and anti-counterfeiting strategies. METHODS: The study was explorative and consisted of two phases. The first phase was between 2016 and 2017. It looked at document analysis (annual reports and press releases from 2011 to 2016) from government institutions involved in medicines regulation and law enforcement for SF seizure reports between 2004 and 2017. The second phase was between 2016 and 2018 through in-depth semi-structured interviews (seven in total) with selected stakeholders. RESULTS: First Phase-the data collected and reported by various departments was sporadic and did not always correlate for the same periods indicating, a lack of a central reporting system and stakeholder collaboration. In South Africa, counterfeiting of medicines mainly involves the smuggling of non-registered goods. The most common counterfeit items were painkillers, herbal teas, herbal ointments, while some were medical devices. Furthermore, Customs identified South Africa as a transhipment point for SF infiltration to neighbouring countries with less robust regulatory systems. Second phase-interview transcripts were analysed by thematic coding. These were identified as the adequacy of legislation, institutional capacity, enforcement and post-market surveillance, stakeholder collaboration and information sharing, and public education and awareness. CONCLUSION: Document analysis and interviews indicate that South Africa already has a national drug policy and legislative framework consistent with international law. However, there is no specific pharmaceutical legislation addressing the counterfeiting of medicines. Law enforcement has also been complicated by poor stakeholder engagement and information sharing.

Medicine quality in high-income countries: The obstacles to comparative prevalence studies.

The entry of falsified and substandard medicines into the legitimate pharmaceutical supply chain has negative impacts on healthcare systems, patient safety, and patient access to medicine. The COVID-19 pandemic has highlighted the importance of access to safe medicine through legitimate pharmaceutical supply chains and the willingness of criminals to target medical products such as PPE (personal protective equipment) and COVID-19 treatments. In this article, we analyse data from the United Kingdom (UK) national medicine alert and recall database to identify and understand recent cases of substandard and falsified medicine in the UK's healthcare systems. Using the UK as a case study, we describe that national drug alert and recall data are useful in their current form to record and understand cases of substandard and falsified medicines in the supply chain. However, if regulatory agencies published further data, these drug recall databases may be useful to support longitudinal and international comparative medicine quality studies. We suggest that regulatory agencies publish the number of affected medicine packs in each recalled batch, as part of the recall process. This will help policy makers, practitioners, and researchers to better understand, monitor and compare the quality of medicines within legitimate supply chains.

Substandard and Falsified Medicines: Proposed Methods for Case Finding and Sentinel Surveillance.

The World Health Organization and others warn that substandard and falsified medicines harm health and waste money, especially in low- and middle-income countries. However, no country has measured the market-wide extent of the problem, and no standardized methods exist to estimate the prevalence of either substandard or falsified medicines. This is, in part, because the task seems overwhelming; medicine markets are huge and diverse, and testing medicines is expensive. Many countries do operate some form of postmarket surveillance of medicine, but their methods and goals differ. There is currently no clear guidance on which surveillance method is most appropriate to meet specific public health goals. In this viewpoint, we aimed to discuss the utility of both case finding and risk-based sentinel surveillance for substandard and falsified medicines, linking each to specific public health goals. We posit that choosing the system most appropriate to the goal, as well as implementing it with a clear understanding of the factors driving the production and sale of substandard and falsified medicines, will allow for surveillance resources to be concentrated most efficiently. We adapted principles used for disease outbreak responses to suggest a case-finding system that uses secondary data to flag poor-quality medicines, proposing risk-based indicators that differ for substandard and falsified medicines. This system potentially offers a cost-effective way of identifying "cases" for market withdrawal, enhanced oversight, or another immediate response. We further proposed a risk-based sentinel surveillance system that concentrates resources on measuring the prevalence of substandard and falsified medicines in the risk clusters where they are most likely to be found. The sentinel surveillance system provides base data for a transparent, spreadsheet-based model for estimating the national prevalence of substandard and falsified medicines. The methods we proposed are based on ongoing work in Indonesia, a large and diverse middle-income country currently aiming to achieve universal health coverage. Both the case finding and the sentinel surveillance system are designed to be adaptable to other resource-constrained settings.

The scourge of substandard and falsified medical products gets worse with COVID-19 pandemic.

Although health professionals, communities, governments and global institutions work closely to halt the spread of COVID-19 and mitigate its societal impact, COVID-19 remains a challenge to many countries around the world. In addition to its direct health, economic and social consequences, the pandemic has also resulted in unforeseen consequences in Africa especially in East African countries. COVID-19 might increase the demand and consumption of Substandard and Falsified (SF) medical products in three major ways. The first way is due to the inability of vulnerable segment of the population to access healthcare services as they used to do before. The second way people get exposed to SF medical products is due to fear of being quarantined, isolated and traced. Yet another way is related to import permits for medical products. Concerned regulatory bodies shall intervene aggressively in ensuring the safety, quality and effectiveness of medical products before we face a parallel pandemic from SF medical products.

Characterizing News Report of the Substandard Vaccine Case of Changchun Changsheng in China: A Text Mining Approach.

Background: The substandard vaccine case of that broke out in July 2018 in China triggered an outburst of news reports both domestically and aboard. Distilling the abundant textual information is helpful for a better understanding of the character during this public event. Methods: We collected the texts of 2211 news reports from 83 mainstream media outlets in China between 15 July and 25 August 2018, and used a structural topic model (STM) to identify the major topics and features that emerged. We also used dictionary-based sentiment analysis to uncover the sentiments expressed by the topics as well as their temporal variations. Results: The main topics of the news report fell into six major categories, including: (1) Media Investigation, (2) Response from the Top Authority, (3) Government Action, (4) Knowledge Dissemination, (5) Finance Related and (6) Commentary. The topic prevalence shifted during different stages of the events, illustrating the actions by the government. Sentiments generally spanned from negative to positive, but varied according to different topics. Conclusion: The characteristics of news reports on vaccines are shaped by various topics at different stages. The inner dynamics of the topic and its alterations are driven by the interaction between social sentiment and governmental intervention.

Composition analysis of falsified chloroquine phosphate samples seized during the COVID-19 pandemic.

The proliferation of falsified medicines can cause serious public health issues, particularly in the context of a global pandemic such as the actual COVID-19 pandemic. Our study involved eight chloroquine phosphate medicines seized in Cameroon, Democratic Republic of Congo and Niger during March and May 2020. These suspect samples were first analyzed in a screening phase using field tools such as handheld Raman spectroscopy (TruScan) and then in a confirmation phase using laboratory tools such as hyperspectral Raman imaging and High Performance Liquid Chromatography (HPLC). The results confirmed the falsified nature of the samples, highlighting the presence of metronidazole at low dose in four samples (16.6, 15.2, 15.2 and 14.5 mg/tab), too low levels of chloroquine in two samples (2.4 and 20.2 mg/tab), and substitution of chloroquine phosphate by paracetamol in one sample (255.7 mg/tab). The results also confirmed that four samples had been adulterated with paracetamol in trace amounts and two of them presented traces of chloramphenicol.