BACKGROUND: The online pharmacy market is growing, with legitimate online pharmacies offering advantages such as convenience and accessibility. However, this increased demand has attracted malicious actors into this space, leading to the proliferation of illegal vendors that use deceptive techniques to rank higher in search results and pose serious public health risks by dispensing substandard or falsified medicines. Search engine providers have started integrating generative artificial intelligence (AI) into search engine interfaces, which could revolutionize search by delivering more personalized results through a user-friendly experience. However, improper integration of these new technologies carries potential risks and could further exacerbate the risks posed by illicit online pharmacies by inadvertently directing users to illegal vendors.
OBJECTIVE: The role of generative AI integration in reshaping search engine results, particularly related to online pharmacies, has not yet been studied. Our objective was to identify, determine the prevalence of, and characterize illegal online pharmacy recommendations within the AI-generated search results and recommendations.
METHODS: We conducted a comparative assessment of AI-generated recommendations from Google\'s Search Generative Experience (SGE) and Microsoft Bing\'s Chat, focusing on popular and well-known medicines representing multiple therapeutic categories including controlled substances. Websites were individually examined to determine legitimacy, and known illegal vendors were identified by cross-referencing with the National Association of Boards of Pharmacy and LegitScript databases.
RESULTS: Of the 262 websites recommended in the AI-generated search results, 47.33% (124/262) belonged to active online pharmacies, with 31.29% (82/262) leading to legitimate ones. However, 19.04% (24/126) of Bing Chat\'s and 13.23% (18/136) of Google SGE\'s recommendations directed users to illegal vendors, including for controlled substances. The proportion of illegal pharmacies varied by drug and search engine. A significant difference was observed in the distribution of illegal websites between search engines. The prevalence of links leading to illegal online pharmacies selling prescription medications was significantly higher (P=.001) in Bing Chat (21/86, 24%) compared to Google SGE (6/92, 6%). Regarding the suggestions for controlled substances, suggestions generated by Google led to a significantly higher number of rogue sellers (12/44, 27%; P=.02) compared to Bing (3/40, 7%).
CONCLUSIONS: While the integration of generative AI into search engines offers promising potential, it also poses significant risks. This is the first study to shed light on the vulnerabilities within these platforms while highlighting the potential public health implications associated with their inadvertent promotion of illegal pharmacies. We found a concerning proportion of AI-generated recommendations that led to illegal online pharmacies, which could not only potentially increase their traffic but also further exacerbate existing public health risks. Rigorous oversight and proper safeguards are urgently needed in generative search to mitigate consumer risks, making sure to actively guide users to verified pharmacies and prioritize legitimate sources while excluding illegal vendors from recommendations.

Aim: To explore the characteristics and operations of online pharmacies in relation to medications that gained widespread popularity and increased demand during the COVID-19 pandemic. Furthermore, to assess and compare practices between legitimate and \"rogue\" online pharmacies. Methods: Fifteen COVID-19-pandemic-related medications were investigated through a UK-based online search. We systematically assessed the credibility of 116 retrieved online pharmacies using the factors: operational location, range of medicines sold, prescription requirements for Prescription Only Medicines (POMs), information exchange, payment/delivery, user-friendliness, legitimacy. Descriptive analysis was conducted, and legitimacy status (legitimate vs. illegitimate/rogue) was tested against relevant safety indicators using a chi-square test. Results: Out of 116 \"online pharmacies,\" 55 (47%) were confirmed as \"rogue,\" 47 (41%) were verified as legitimate by the General Pharmaceutical Council (GPhC), and 14 (12%) were verified by other bodies but not by the GPhC. A total of 93 declared their \"apparent\" physical location of operation on the webpage of which 63 (67.7%, n = 93) declared a location that did not match their actual location according to the online pharmacy\'s server (through their IP address). All 15 medicines analysed were readily available for purchase. A high percentage of online pharmacies offered POMs to the public (93.1%, n = 116). Only 23 out of the 116 online pharmacies assessed required a prescription for providing POMs, with only four of these verified as legitimate by the GPhC register, while most of the legitimate pharmacies (44 out of 47) offered online consultations as an alternative option instead of a prescription. Controlled medicines were offered by 28 online pharmacies 27 of which were deemed as rogue. Rogue online pharmacies were significantly more likely to guarantee refunds for medication, not require prescriptions for POMs, and not require an online consultation to obtain POMs. Discussion: Findings reveal easy access to rogue online pharmacies, posing patient safety risks. We also found legitimate online pharmacies often offer online consultations without requiring prescriptions for POMs, raising concerns about inadequate safety checks. This emphasises the need for improved regulations for both types of online pharmacies, especially during public health crises.

The utilization of healthcare services serves as a barometer for current and future health outcomes. Even in countries with modern healthcare IT infrastructure, however, fragmentation and interoperability issues hinder the (short-term) monitoring of utilization, forcing policymakers to rely on secondary data sources, such as surveys. This deficiency may be particularly problematic during public health crises, when ensuring proper and timely access to healthcare acquires special importance. We show that, in specific contexts, online pharmacies\' digital footprint data may contain a strong signal of healthcare utilization. As such, online pharmacy data may enable utilization surveillance, i.e., the monitoring of short-term changes in utilization levels in the population. Our analysis takes advantage of the scenario created by the first wave of the Covid-19 pandemic in Mainland China, where the virus\' spread lead to pervasive and deep reductions of healthcare service utilization. Relying on a large sample of online pharmacy transactions with full national coverage, we first detect variation that is strongly consistent with utilization reductions across geographies and over time. We then validate our claims by contrasting online pharmacy variation against credit-card transactions for medical services. Using machine learning methods, we show that incorporating online pharmacy data into the models significantly improves the accuracy of utilization surveillance estimates.

BACKGROUND: Since the WHO announced that Covid-19 had become a global pandemic, online pharmacies have emerged as an extremely popular way to purchase medication due to the quarantine measures introduced by numerous countries to prevent the virus\'s spread.
OBJECTIVE: The aim of this study was to collect information regarding the extent of online medication purchasing in the UAE and to assess the factors that motivating the purchase of medications from the internet.
METHODS: A convenience sampling of people living in the UAE was used to conduct an online descriptive cross-sectional study. Respondents were solicited using the social media platforms WhatsApp and Facebook, whereby they were asked to fill in a validated web-based questionnaire. The number of people buying medications from online pharmacies was calculated using a percentage with 95% CIs.
RESULTS: 131 respondents (31.2%) [95% CI: 26.7-35.6] stated that they purchased medication via the Internet after Covid-19 was classed as a pandemic. It was found that those respondents most likely to have purchased medication via the Internet were male, single, and older and with a high school education.
CONCLUSIONS: More research should be conducted to investigate and compare the self-medication and associated risk factors between online pharmacies and community pharmacies. Moreover, regulatory bodies need to make and implement changes to the regulations that govern the sale and use of medications during COVID-19.

UNASSIGNED: Considering limited global access to affordable insulin, we evaluated insulin access in public and private health sectors in Bengaluru, India.
UNASSIGNED: Employing modified WHO/HAI methodology, we used mixed-methods analysis to study insulin access and factors influencing insulin supply and demand in Bengaluru in December 2017. We assessed insulin availability, price and affordability in a representative sample of 5 public-sector hospitals, 5 private-sector hospitals and 30 retail pharmacies. We obtained insulin price data from websites of government Jan Aushadhi scheme (JAS) and four online private-sector retail pharmacies. We interviewed wholesalers in April 2018 to understand insulin market dynamics.
UNASSIGNED: Mean availability of insulins on India\'s 2015 Essential Medicine List was 66.7% in the public sector, lower than private-sector retail (76.1%) and hospital pharmacies (93.3%). Among private retailers, mean availability was higher among chain (96.7%) than independent pharmacies (68.3%). Non-Indian companies supplied 67.3% products in both sectors. 79.1% products were manufactured in India, of which 60% were marketed by non-Indian companies.In private retail pharmacies, median consumer prices of human insulin cartridges and pens were 2.5 and 3.6 times, respectively, that of human insulin vials. Analogues depending on delivery device were twice as expensive as human insulin. Human insulin vials were 18.3% less expensive in JAS pharmacies than private retail pharmacies. The lowest paid unskilled worker would pay 1.4 to 9.3 days\' wages for a month\'s supply, depending on insulin type and health sector. Wholesaler interviews suggest that challenges constraining patient insulin access include limited market competition, physicians\' preference for non-Indian insulins, and the ongoing transition from human to analogue insulin. Rising popularity of online and chain pharmacies may influence insulin access.
UNASSIGNED: Insulin availability in Bengaluru\'s public sector falls short of WHO\'s 80% target. Insulin remains unaffordable in both private and public sectors. To improve insulin availability and affordability, government should streamline insulin procurement and supply chains at different levels, mandate biosimilar prescribing, educate physicians to pursue evidence-based prescribing, and empower pharmacists with brand substitution. Patients must be encouraged to shop around for lower prices from subsidized schemes like JAS. While non-Indian companies dominate Bengaluru\'s insulin market, rising market competition from Indian companies may improve access.

On December 6 and 7, 2017, the US Department of Health and Human Services (HHS) hosted its first Code-a-Thon event aimed at leveraging technology and data-driven solutions to help combat the opioid epidemic. The authors—an interdisciplinary team from academia, the private sector, and the US Centers for Disease Control and Prevention—participated in the Code-a-Thon as part of the prevention track.
The aim of this study was to develop and deploy a methodology using machine learning to accurately detect the marketing and sale of opioids by illicit online sellers via Twitter as part of participation at the HHS Opioid Code-a-Thon event.
Tweets were collected from the Twitter public application programming interface stream filtered for common prescription opioid keywords in conjunction with participation in the Code-a-Thon from November 15, 2017 to December 5, 2017. An unsupervised machine learning–based approach was developed and used during the Code-a-Thon competition (24 hours) to obtain a summary of the content of the tweets to isolate those clusters associated with illegal online marketing and sale using a biterm topic model (BTM). After isolating relevant tweets, hyperlinks associated with these tweets were reviewed to assess the characteristics of illegal online sellers.
We collected and analyzed 213,041 tweets over the course of the Code-a-Thon containing keywords codeine, percocet, vicodin, oxycontin, oxycodone, fentanyl, and hydrocodone. Using BTM, 0.32% (692/213,041) tweets were identified as being associated with illegal online marketing and sale of prescription opioids. After removing duplicates and dead links, we identified 34 unique “live” tweets, with 44% (15/34) directing consumers to illicit online pharmacies, 32% (11/34) linked to individual drug sellers, and 21% (7/34) used by marketing affiliates. In addition to offering the “no prescription” sale of opioids, many of these vendors also sold other controlled substances and illicit drugs.
The results of this study are in line with prior studies that have identified social media platforms, including Twitter, as a potential conduit for supply and sale of illicit opioids. To translate these results into action, authors also developed a prototype wireframe for the purposes of detecting, classifying, and reporting illicit online pharmacy tweets selling controlled substances illegally to the US Food and Drug Administration and the US Drug Enforcement Agency. Further development of solutions based on these methods has the potential to proactively alert regulators and law enforcement agencies of illegal opioid sales, while also making the online environment safer for the public.

Online drug markets are expanding the boundaries of drug supply including the sale and purchase of image and performance enhancing drugs (IPEDs). However, the role of the internet in IPED markets, and in particular the ways in which these substances are supplied via the surface web, has rarely been considered. This article examines the online IPED market in order to inform drug policy and to provide a nuanced understanding of retailers involved, particularly exploring the relationship between buyers and sellers.
This paper is based on two extensive research projects conducted in the Netherlands and Belgium. The first project focuses on muscle drugs and is based on 64 IPED dealing cases, semi-structured interviews with authorities (N=32), and dealers (N=15), along with an analysis of 10 steroid-selling websites. The second research project primarily focuses on weight loss drugs and sexual enhancers in the Netherlands, and relies on interviews with authorities (N=38), suppliers (N=30), and consumers (N=10), analysis of 69 criminal case files, and an online analysis.
In the literature, the illicit online sale of IPEDs is generally associated with illegal online pharmacies that try to mislead buyers. While confirmed in our research, we also illustrate that there are online suppliers who invest in customer relationships and services, and that users are aware of the illegal nature of their business. These e-vendors incorporate a \'social supply business model\' by providing the best possible service to their customers and attempting to minimise risks in order to attract, satisfy and maintain customers.
As it is likely that users will continue to make use of the internet to order IPEDs, regardless of closing down selling websites, it is first of all important to counteract these online sources by educating all types of consumers and providing harm reduction services.

OBJECTIVE: Online pharmacies sell medicine over the Internet and deliver them by mail. The main objective of this study is to explore the extent of use of online pharmacies in Saudi Arabia which will be useful for the scientific community and regulators.
METHODS: An Arabic survey questionnaire was developed for this study. The questionnaire was distributed via email and social media. Four sections were created to cover the objectives: experience with online shopping in general, demographics, awareness of the existence and customer experiences of buying medicine online, and reasons for buying/not buying medicine online.
RESULTS: A total of 633 responses were collected. Around 69% (437) of them were female and the majority (256, 40.4%) was in the age range 26-40. Only 23.1% (146) were aware of the existence of online pharmacies where 2.7% (17) of them had bought a medicine over the Internet and 15 (88.2%) respondents out of the 17 was satisfied with the process. Lack of awareness of the availability of such services was the main reason for not buying medicines online. Many respondents (263, 42.7%) were willing to try an online pharmacy, although majorities (243, 45.9%) were unable to differentiate between legal and illegal online pharmacies. The largest categories of products respondents were willing to buy them online were nonprescription medicines and cosmetics.
CONCLUSIONS: The popularity of purchasing medicines over the Internet is still low in Saudi Arabia. However, because the majority of respondents are willing to purchase medicines online, efforts should be made by the Saudi FDA to set regulations and monitor this activity.

Combinations of professional and commercial communication are typically very controversial, particularly in health care communication on the Internet. Websites of licensed community pharmacies on the other hand tend to raise remarkably little controversy, although they typically contain controversial combinations of clinical and commercial services previously unprecedented in professional health care communication.
The aim of this study was to fill the void of knowledge about the combination of clinical and commercial services presented on the websites of licensed community pharmacies.
A content analysis of clinical and commercial services presented in a random sample of 200 licensed community pharmacy websites from Great Britain, the Netherlands, the Canadian provinces British Columbia and Manitoba, and the Australian states New South Wales and Western Australia was conducted.
The top five specific services mentioned on the community pharmacy websites were cosmetic products (126/200, 63.0%), medication refill request options (124/200, 62.0%), over-the-counter medicine (115/200, 57.5%), complementary and alternative medicine (107/200, 53.5%), and home medical aids (98/200, 49.0%). On average, 72.5% (145/200) of the community pharmacy websites across the 4 countries included a combination of clinical and commercial services. A combination of clinical and commercial services was more often present on chain pharmacy websites (120/147, 82.8%) than single pharmacy websites (25/53, 47%; P<.001), and most often on the Canadian community pharmacy websites, followed by the Australian, British, and Dutch pharmacy websites, respectively (P<.02). Furthermore, more than half of the pharmacies\' homepages contained a combination of clinical and commercial images (107/200, 53.5%), and almost half of the homepage menus contained a combination of clinical and commercial items (99/200, 49.5%). The latter were, again, more common on chain pharmacy than single pharmacy websites (P<.001), with significant differences between countries (P<.001).
A considerable share of websites of licensed community pharmacies in Great Britain, the Netherlands, Canada, and Australia combine clinical services with commercial services. Previous research into the presence of a combination of commercial and professional services suggests that such a combination may lead to increased interest in commercial services that may be unnecessary or inappropriate to patients\' health.

BACKGROUND: The globalization of the pharmaceutical supply chain has introduced new challenges, chief among them, fighting the international criminal trade in fake medicines. As the manufacture, supply, and distribution of drugs becomes more complex, so does the need for innovative technology-based solutions to protect patients globally. Areas covered: We conducted a multidisciplinary review of the science/health, information technology, computer science, and general academic literature with the aim of identifying cutting-edge existing and emerging \'digital\' solutions to combat fake medicines. Our review identified five distinct categories of technology including mobile, radio frequency identification, advanced computational methods, online verification, and blockchain technology. Expert opinion: Digital fake medicine solutions are unifying platforms that integrate different types of anti-counterfeiting technologies as complementary solutions, improve information sharing and data collection, and are designed to overcome existing barriers of adoption and implementation. Investment in this next generation technology is essential to ensure the future security and integrity of the global drug supply chain.