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.

Search Engines and Generative AI Integration: Public Health Risks and Recommendations to Safeguard Consumers Online (Preprint)

Objectives Online purchasing, including drugs, increased dramatically in the last decade especially through the COVID-19 pandemic. The aim of this study was to investigate the frequency and attitudes of consumers concerning online drug purchasing and assess their perceptions regarding the benefits and disadvantages. Design A web-based survey conducted through a self-administered questionnaire that was approved by the Institutional Review Board (IRB) committee, ethical approval number: IRB/Al-Ahliyya Amman University/3/13/2021-2022. Cronbach’s alpha for the attributes of benefits and disadvantages was 0.608 and 0.744, respectively. Primary outcome measures were extent of trust of the public in online drug purchasing using Likert scale. Multivariate linear regression was used to assess predictors of the trust score. Settings Hashemite Kingdom of Jordan. Participants Inclusion criteria; residents of the Hashemite Kingdom of Jordan 18 years or older. The questionnaire was distributed through snowball effect via different social media. Results A total of 428 participants filled the questionnaire, their average age was 29.7±11.2. Almost all participants, 419 (98.6%) use the internet daily but only 79 (18.6%) participants shop online regularly. Fifty participants (11.8%) purchased drugs online and they had higher benefits score of online purchasing compared with those who did not buy drugs online, 12.5±3.7 and 10.9±3.1, respectively, p=0.002. Participant who purchased drugs online had an increase in trust score of 0.847 compared with those who did not purchase drugs online, p<0.001. In the multivariate model, participants with education level of high school or higher than high school, compared with those with education lower than high school had an increase in trust score of 1.336 (p=0.026) and 1.137 (p=0.039), respectively. Conclusion The public recognises the risks in buying drugs online. Awareness campaigns and regulations that control and monitor online drug purchasing should be implemented.

Practices, perceptions and trust of the public regarding online drug purchasing: a web-based survey from Jordan

Abstract This study investigated Vietnamese people’s behavior and future intention to purchase medicines and functional foods online and their associated factors. From March to May 2023, a Google Form questionnaire was distributed via social networks and online platforms. Convenience and snowballing sampling methods were employed to recruit 1,305 Vietnamese people. In the past year, 50.3% of participants purchased at least one kind of medicine and/or functional foods online (medicines: 27.6%, functional foods: 45.1%). Among 656 buyers, nearly a third bought these products more than three times and only 5.9% felt dissatisfied with their previous experiences. This purchasing behavior was more prevalent among females, those married, having higher education levels, usually shopping online, having longer time of Internet use per day, and seeking health information on the Internet ( p &lt; 0.001). In addition, 77.5% of participants intended to purchase these products online in the future and 61.2% would introduce this kind of online purchase to other people. The purchase intention was significantly associated with the participants’ previous experiences, area, contracting chronic diseases, and using the Internet for self-medication, while factors associated with the introducing intention included their education level, occupation, and previous experiences in online purchases ( p &lt; 0.001). 

pdf/vietnamese-peoples-behavior-and-future-intention-to-purchase-1js1qd5kt0sh.pdf

Vietnamese people’s behavior and future intention to purchase medicines and functional foods on the internet: a cross-sectional study

ABSTRACT As the demand for “quick-fixes” and instant gratification intensifies among consumers of the US health care delivery system, health care providers remain essential to ensuring patients receive safe, evidenced-based care. Erectile dysfunction is a common health condition affecting as many as 42% of US men. As such, it is unsurprising that American health care consumers affected by erectile dysfunction (ED) may be tempted by “quick fixes” to ameliorate their symptoms—particularly if such fixes are perceived to be less embarrassing, more accessible, and/or more affordable. Although multiple therapies for the treatment of ED are approved by the US Food and Drug Administration, unregulated and/or counterfeit treatments are abundantly available to health care consumers on the Internet and US retail settings. These unregulated treatments may take the form of over-the-counter supplements or tainted prescription medications from illegal Internet pharmacies. This clinical brief is a call to action for health care professionals to advocate for patient safety, educate patients, and champion evidence-based therapies approved for the treatment of erectile dysfunction. 

Unregulated male sexual enhancement treatments: Perils and pitfalls for patients and providers

Our findings underscore the urgent need for stricter regulations and enhanced monitoring of OPs. However, searching of the dark web, which is known to have illegal marketplaces offering prescription drugs, particularly antibiotics, was not investigated. 

Antibiotic purchasing through online pharmacies: A mystery shopper study

Background Antimicrobial resistance is a significant global public health threat. However, the impact of sourcing potentially substandard and falsified antibiotics via the internet remains understudied, particularly in the context of access to and quality of common antibiotics. In response, this study conducted a multifactor quality and safety analysis of antibiotics sold and purchased via online pharmacies that did not require a prescription. Objective The aim of this paper is to identify and characterize “no prescription” online pharmacies selling 5 common antibiotics and to assess the quality characteristics of samples through controlled test buys. Methods We first used structured search queries associated with the international nonproprietary names of amoxicillin, azithromycin, amoxicillin and clavulanic acid, cephalexin, and ciprofloxacin to detect and characterize online pharmacies offering the sale of antibiotics without a prescription. Next, we conducted controlled test buys of antibiotics and conducted a visual inspection of packaging and contents for risk evaluation. Antibiotics were then analyzed using untargeted mass spectrometry (MS). MS data were used to determine if the claimed active pharmaceutical ingredient was present, and molecular networking was used to analyze MS data to detect drug analogs as well as possible adulterants and contaminants. Results A total of 109 unique websites were identified that actively advertised direct-to-consumer sale of antibiotics without a prescription. From these websites, we successfully placed 27 orders, received 11 packages, and collected 1373 antibiotic product samples. Visual inspection resulted in all product packaging consisting of pill packs or blister packs and some concerning indicators of potential poor quality, falsification, and improper dispensing. Though all samples had the presence of stated active pharmaceutical ingredient, molecular networking revealed a number of drug analogs of unknown identity, as well as known impurities and contaminants. Conclusions Our study used a multifactor approach, including web surveillance, test purchasing, and analytical chemistry, to assess risk factors associated with purchasing antibiotics online. Results provide evidence of possible safety risks, including substandard packaging and shipment, falsification of product information and markings, detection of undeclared chemicals, high variability of quality across samples, and payment for orders being defrauded. Beyond immediate patient safety risks, these falsified and substandard products could exacerbate the ongoing public health threat of antimicrobial resistance by circulating substandard product to patients.

https://jmir.org/api/download?alt_name=publichealth_v8i12e41834_app1.pdf&filename=dc2d351bb74c0883073bb13585b2c892.pdf

Multifactor Quality and Safety Analysis of Antimicrobial Drugs Sold by Online Pharmacies That Do Not Require a Prescription: Multiphase Observational, Content Analysis, and Product Evaluation Study

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Multifactor Quality and Safety Analysis of Antimicrobial Drugs Sold by Online Pharmacies That Do Not Require a Prescription: Multiphase Observational, Content Analysis, and Product Evaluation Study