BACKGROUND: Medical narcotics must be administered under medical supervision because of their potential for misuse and abuse, leading to more dangerous and addictive substances. The control of medical narcotics requires close monitoring to ensure that they remain safe and effective. This study proposes a methodology that can effectively identify the overprescription of medical narcotics in hospitals and patients.
METHODS: Social network analysis (SNA) was applied to prescription networks for medical narcotics. Prescription data were obtained from the Narcotics Information Management System in South Korea, which contains all data on narcotic usage nationwide. Two-mode networks comprising hospitals and patients were constructed based on prescription data from 2019 to 2021 for the three most significant narcotics: appetite suppressants, zolpidem, and propofol. Two-mode networks were then converted into one-mode networks for hospitals. Network structures and characteristics were analyzed to identify hospitals suspected of overprescribing.
RESULTS: The SNA identified hospitals that overprescribed medical narcotics. Patients suspected of experiencing narcotic addiction seek treatment in such hospitals. The structure of the network was different for the three narcotics. While appetite suppressants and propofol networks had a more centralized structure, zolpidem networks showed a less centralized but more fragmented structure. During the analysis, two types of hospitals caught our attention: one with a high degree, meaning that potential abusers have frequently visited the hospital, and the other with a high weighted degree, meaning that the hospital may overprescribe. For appetite suppressants, these two types of hospitals matched 84.6%, compared with 30.0% for propofol. In all three narcotics, clinics accounted for the largest share of the network. Patients using appetite suppressants were most likely to visit multiple locations, whereas those using zolpidem and propofol tended to form communities around their neighborhoods.
CONCLUSIONS: The significance of this study lies in its analysis of nationwide narcotic use reports and the differences observed across different types of narcotics. The social network structure between hospitals and patients varies depending on the composition of the medical narcotics. Therefore, these characteristics should be considered when controlling medication with narcotics. The results of this study provide guidelines for controlling narcotic use in other countries.

OBJECTIVE: To assess the trends in tramadol dispensing among Medicare Part D patients in Rhode Island.
METHODS: An analysis was conducted of the Medicare Part D Provider Utilization and Payment Data Public Use File for the years 2013-2021. Chi squared tests were conducted to assess statistical significance of annual changes in proportions.
RESULTS: Following tramadol becoming a controlled substance in 2014, the number of dispensed tramadol prescriptions and patients with a tramadol prescription decreased every subsequent year through 2021 (prescriptions: 42,157 to 33,026; patients: 12,654 to 9,653). The percentage of opioid prescriptions that were tramadol increased from 16.32% in 2013 to 21.19% in 2020.
CONCLUSIONS: Tramadol utilization has been decreasing among the Medicare Part D population in Rhode Island while the percentage of opioid dispensings that were tramadol have been increasing. Future studies are needed to assess whether patients utilizing tramadol are at a higher risk for adverse outcomes.

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.

In response to the opioid epidemic, the Centers for Disease Control and Prevention released best practice recommendations for prescribing, yet adoption of these guidelines has been fragmented and frequently met with uncertainty by both patients and providers. This study aims to describe the development and implementation of a comprehensive approach to improving opioid stewardship in a large network of primary care providers. The authors developed a 3-tier approach to opioid management: (1) establishment and implementation of best practices for prescribing opioids, (2) development of a weaning process to decrease opioid doses when the risk outweighs benefits, and (3) support for patients when opioid use disorders were identified. Across 44 primary care practices caring for >223,000 patients, the total number of patients prescribed a chronic opioid decreased from 4848 patients in 2018 to 3106 patients in 2021, a decrease of 36% (P < 0.001). The percent of patients with a controlled substance agreement increased from 13% to 83% (P < 0.001) and the percent of patients completing an annual urine drug screen increased from 17% to 53% (P < 0.001). The number of patients coprescribed benzodiazepines decreased from 1261 patients at baseline to 834 at completion. A total of 6.5% of patients were referred for additional support from a certified alcohol and substance abuse counselor embedded within the program. Overall, the comprehensive opioid management program provided the necessary structure to support opioid prescribing and resulted in improved adherence to best practices, facilitated weaning of opioids when medically appropriate, and enhanced support for patients with opioid use disorders.

UNASSIGNED: The Saudi Food and Drug Authority (SFDA) classified pregabalin as a controlled substance in 2018; however, whether this policy change has affected pregabalin use is unclear. This study examined the trends in pregabalin prescriptions before and after the SFDA restriction. In addition, the co-prescription of controlled analgesics and the use of pregabalin for approved indications were also evaluated.
UNASSIGNED: A cross-sectional study was conducted on outpatient pregabalin prescriptions from three healthcare centers in Saudi Arabia. Interrupted time series analysis was used to assess changes over time in pregabalin prescriptions and the number of patients receiving pregabalin. June 2016 to June 2017 was identified as the pre-restriction period, and July 2018 to July 2019 as the post-restriction period.
UNASSIGNED: In this study, 77,760 pregabalin prescriptions were identified. There were 9,076 patients on pregabalin in the pre-restriction period with 16,875 prescriptions, compared with 7,123 patients and 19,484 prescriptions post-restriction. The total number of pregabalin users decreased by 21.5% post-restriction, and prescriptions increased by 15.5%. There was no significant change in the monthly trends in pregabalin prescriptions before and after the restriction. However, the of tramadol and acetaminophen/codeine prescriptions in patients who were using pregabalin increased in the post-restriction period by 21% and 16.1%, respectively.
UNASSIGNED: Pregabalin use was reduced after the SFDA-enforced prescription restriction was implemented. This was accompanied by increased narcotics use in the post-implementation phase.

Background: A controlled substance agreement (CSA) is a risk mitigation strategy for patients managed on controlled substance medications such as opioids and benzodiazepines. Limited literature exists to describe the role of the clinic pharmacy team to promote adherence to CSA monitoring parameters. Objective: The objective of this study is to evaluate the impact of interprofessional educational and clinical interventions led by an ambulatory care pharmacist on adherence to monitoring parameters within a CSA policy. Methods: This retrospective observational study included patients on long-term controlled substances who had a clinic visit every 3 months during the study period. The primary outcomes were the proportion of patients with a signed CSA in the electronic medical record (EMR), urine drug screen (UDS) completion, and documentation of review of the statewide prescription drug monitoring program (PDMP) in the EMR 8 months prior to as compared to 8 months after implementation of pharmacist interventions. Results: Among 79 patients (mean age 55.7 years, 65.8% female, 54.4% African American), 8.9% pre- vs 88.6% post-interventions had a signed CSA (p<0.001), 35.4% pre- vs 65.8% post-interventions had a UDS completed (p<0.001), and 32.9% pre- vs 57% post-interventions had documentation of PDMP review (p=0.002). Conclusion: Adherence to monitoring parameters within a CSA policy significantly improved after educational and clinical interventions led by an ambulatory care pharmacist.

To help prevent overdose deaths involving prescription drugs, accurate linkage of prescription drug monitoring program (PDMP) records for individual patients is essential.
To compare the accuracy of the linkage program used by California\'s PDMP against various record linkage programs with respect to accuracy in deduplicating patient identities in the PDMP, with implications for identifying high-risk opioid use and outlier behaviors.
We evaluated California\'s program, Link Plus, LinkSolv, and The Link King on 557 861 PDMP identity records with addresses in two 3-digit zip code areas for patients who filled a controlled substance prescription in 2013. Manual review was performed on a stratified sample of 720 paired records identified as matches by at least one program.
We estimated sensitivity and positive predictive value, and computed PDMP patient alerts for the patient entities identified by each program.
Sensitivity was 95% for LinkSolv and The Link King, 84% for Link Plus, and 73% for California\'s program; positive predictive value was ≥93% for all programs. The number of patient entities prompting a PDMP alert was similar among the programs for all alerts except multiple provider episodes (obtaining prescriptions from ≥6 prescribers or ≥6 pharmacies in the last 6 months), which were 10.9%, 26.6%, and 16.9% greater using The Link King, Link Plus, and LinkSolv, respectively, compared to California\'s program.
PDMPs should assess the accuracy of record linkage algorithms and the impacts of these algorithms on patient safety alerts and develop national best practices for PDMP record linkage.

Diversion of controlled substances in the perioperative setting is an ongoing challenge, with consequences for patients, anesthesiologists, perioperative staff, and health care facilities alike. Perioperative environments are at high risk for diversion, since controlled substances are frequently handled in these settings, with varying levels of oversight. In this narrative review, we summarize strategies for preventing diversion of controlled substances in perioperative settings (i.e., operating rooms, endoscopy suites, and postanesthesia recovery units).
We performed a targeted literature search in PubMed MEDLINE, Embase, Scopus, Web of Science, the Cochrane Register of Controlled trials, and the Cochrane Database of Systematic Reviews, as well as a manual search for additional references. We used terminology related to drug diversion, drug abuse, anesthesiologists, pharmacists, physicians, operating room personnel, and controlled substances.
Many strategies have been described for preventing diversion in perioperative settings, and these are broadly categorized into: education, distribution, auditing, or provider screening. Some of these approaches may be time- and resource-intensive. There is limited evidence to inform anesthesia departments\' choice of which strategies to adopt.
Although awareness of perioperative controlled substance diversion has been improving, there are too few data to suggest an optimal approach. Anesthesia departments will need to work collaboratively with hospital pharmacies and actively select strategies that are reasonable given local resources.
RéSUMé: OBJECTIF: Le détournement des substances contrôlées en milieu périopératoire constitue un défi permanent qui a des conséquences pour la patientèle, les anesthésiologistes, le personnel périopératoire et les établissements de soins de santé. Les environnements périopératoires courent un risque élevé de détournement, car les substances contrôlées sont fréquemment manipulées dans ces milieux, avec divers niveaux de surveillance. Dans ce compte rendu narratif, nous résumons les stratégies de prévention du détournement des substances contrôlées dans les milieux périopératoires (c.-à-d. salles d’opération, salles d’endoscopie et salles de réveil).
Nous avons réalisé une recherche documentaire ciblée dans les bases de données PubMed, MEDLINE, Embase, Scopus, Web of Science, le registre Cochrane des essais contrôlés et la base de données Cochrane des revues systématiques, ainsi qu’une recherche manuelle de références supplémentaires. Nous avons utilisé une terminologie liée au détournement de médicaments, à l’abus de substances, aux anesthésiologistes, aux pharmacien·nes, aux médecins, au personnel de salle d’opération et aux substances contrôlées.
De nombreuses stratégies ont été décrites pour prévenir le détournement dans les milieux périopératoires, et celles-ci sont généralement classées en éducation, distribution, audit ou dépistage des fournisseurs et fournisseuses de soin. Certaines de ces approches peuvent exiger beaucoup de temps et de ressources. Il existe peu de données probantes pour éclairer le choix des départements d’anesthésie quant aux stratégies à adopter.
Bien que la sensibilisation au détournement périopératoire de substances contrôlées se soit améliorée, il y a trop peu de données pour suggérer une approche optimale. Les départements d’anesthésie devront travailler en collaboration avec les pharmacies hospitalières et choisir activement des stratégies raisonnables qui tiennent compte des ressources locales.

BACKGROUND: As the misuse and abuse of medical narcotics are increasing in South Korea, an information system for the integrated information management of medical narcotic drugs across the nation is needed. This paper presents the development process of the Narcotics Information Management System (NIMS) for the monitoring of medical narcotics usage and the results of its implementation.
METHODS: As the NIMS enforces that all narcotics handlers digitally report all information on handling medical narcotic drugs, the functional requirements of the NIMS have been identified in accordance with the Narcotics Control Act. In addition to the functional requirements, the non-functional requirements of the NIMS have been elicited by major narcotics handlers and their associations. The non-functional requirements include privacy, availability, connectivity, interoperability, and data integrity. The system design with entity-relationship diagrams and its implementation processes have been presented.
RESULTS: The NIMS encompasses all narcotic handlers, which comprise exporting, importing, and pharmaceutical companies; wholesalers; hospitals and clinics; and pharmacies, collecting over 120 million cases annually. It enables transparent monitoring throughout the life cycle, from manufacturing, sales, purchase, and disposal of narcotics. As a result, the number of prescriptions for medical narcotics has been reduced by 9.2%.
CONCLUSIONS: To the best of our knowledge, the NIMS is the world\'s first system to manage all information on the total life cycle of medical narcotics, including imports, production, distribution, use, and disposal of drugs. This system has enabled the safety management and monitoring of medical narcotic drugs. Additionally, it provides consistent and transparent information to physicians and patients, leading to the autonomous safety management of narcotics. The successful development of the NIMS can provide guidelines for implementing a narcotics management system in other countries.

Background: Accidental opioid-involved overdose deaths are increasing nationally in the wake of the COVID-19 pandemic, but it is unclear if this reflects a change in populations most at risk. Objective: To determine whether the demographic characteristics and controlled substance prescription history of accidental opioid-involved drug overdose decedents in 2020 differed from prior years. Methods: We identified accidental opioid-involved overdose decedents using Rhode Island (RI) State Medical Examiner\'s Office data. Decedents were linked to the RI Prescription Drug Monitoring Program database. We compared demographic characteristics and prescription history by year of death. Results: From 2018 to 2020, 763 RI residents died from accidental opioid-involved overdose in RI. From 2018 to 2019, deaths decreased by 7%, but then increased by 31% from 2019 to 2020. Demographic characteristics were similar by year of death (all p > 0.05). The percentage of decedents with a prior opioid prescription and a prior benzodiazepine prescription declined from 2018 to 2020 (p < 0.01 and p = 0.03). Conclusions: We found that opioid-involved overdose deaths in RI are increasing overall, but without significant changes in demographics. While prior exposure to some controlled substances did decline over time, it is not clear if these changes reflect more responsible prescribing practices, or a more concerning pattern such as patient abandonment or decreased healthcare access. More studies are needed to better describe the current trend of increasing opioid-involved deaths while also pursuing current evidence-based interventions.