Earlier warning: A multi-indicator approach to monitoring trends in the illicit use of medicines

Overdosevarslingssystemer – en kartleggingsoversikt med maskinlæring

Bakgrunn: Helsedirektoratet ønsker å vurdere muligheten for å etablere et nasjonalt overdosevarslingssystem (OVS) for å kunne varsle brukere om økt overdosefare. OVS som system forstås her som et sett med sammenhengende elementer som fungerer som en helhet, der hensikten er tidlig oppdagelse av økt overdoserisiko kombinert med rask varsling til de som står i fare for overdoser. Metode: Vi utførte en kartleggingsoversikt over forskning om varslingssystemer for økt overdosefare. Mål 1 var å kartlegge eksisterende forskning om effekten av et OVS (antall brukere nådd, antall overdoser, varslingshurtighet). Mål 2 var å kartlegge eksisterende forskning som kunne belyse brukeres erfaringer med slike systemer. Resultater: Vi brukte flere maskinlæringsfunksjoner for å identifisere og vurdere totalt 4102 referanser fra litteratursøk gjennomført i mars/april 2022, hvorav 11 studier oppfylte inklusjonskriteriene. Effekt av OVS på antall overdoser var ikke mulig å skille fra eksisterende overdoseforebyggende tiltak. OVS’er varslet skadereduksjonsgrupper eller erfaringskonsulenter så tidlig som fire timer etter innmeldt/oppdaget fare. Antall brukere varslet ble i stor grad ikke rapportert, antageligvis fordi data om dette ikke ble innsamlet. Fra syv kvalitative studier ble mønstre i hovedfunn sett på tvers, som omhandlet preferanser for språkbruk og innhold, hvor varslinger burde komme fra, og prinsippene bak dem. Konklusjon: Vi identifiserte lite empirisk forskning om eksisterende OVS’er, særlig relatert til effekt av slike systemer. Uten tilstrekkelig forskningsgrunnlag om effekt må vi være forsiktige med å trekke konklusjoner om hvilke typer OVS’er som bør og ikke bør innføres i Norge. Opprettelse av et OVS trenger ikke nødvendigvis innebære etablering av en ny infrastruktur, men heller være snakk om at to godt utviklede, eksisterende systemer – systemer for overvåking og skadereduksjonstiltak – kan kobles sammen.

Sharing pro-marijuana messaging on social media: The moderating role of legislation

ObjectivesThis study investigates whether recreational marijuana legislation and perceived social norms (descriptive and injunctive) affect college students' propensity to share pro-marijuana messages. We examine which referent group (close friends, typical student, parents) most influence those norms. Participants: A sample of 343 college students participated in the study. Of these students, 214 were from Washington State, where recreational marijuana is legal, and 129 were from Wyoming, where recreational marijuana is illegal. Method: Data, from an online survey, were analyzed through PROCESS analyses. Results: College students in Washington State who believed a typical peer would want them to share pro-marijuana messaging were marginally more likely to share pro-marijuana messages than their counterparts in Wyoming. However, among students who thought a typical peer would not approve of them sharing pro-marijuana messaging, the opposite pattern emerged. Conclusion: Restrictive recreational marijuana legislation does not uniformly abate related message sharing on social media.

High-dose lormetazepam dependence: strange case of Dr. Jekyll and Mr. Hyde

High-dose benzodiazepine (BZD) abuse is emerging as a substance use disorder (SUD). The aim of the study is to explore the impact of high-dose lormetazepam (LMZ) abuse and the characteristics of patients affected by this SUD in a tertiary referral addiction unit. We have retrospectively evaluated 1112 patients admitted to the Addiction Medicine Unit, Verona University Hospital, Italy for detoxification from high-dose BZD dependence. LMZ was the most common BZD, with an increasing prevalence from January 2003 to June 2018. Socio-demographic (more women; higher age and education) and clinical features (higher daily diazepam dosage equivalent, BZD abuse duration, age of first BZD intake; BZD prescribed more frequently for sleep disorders; less frequent history of other SUDs, previous/active alcohol, previous opioids abuse; more frequent overall major psychiatric diseases and major depression; less-frequent bipolar disorders and other psychoses, personality disorders, and more than one psychiatric disease) of LMZ vs. other BZD abusers significantly differed. 96.7% LMZ abusers took oral solution, while two-thirds of other BZD abusers took tablets. Oral solution, BZD abuse duration and prescription of BZD for sleep disorders increased, while history of other SUDs, previous/active alcohol and active cannabinoids SUD reduced the risk of high-dose LMZ vs. other BZDs abuse. The large prevalence of high-dose LMZ abusers in Italy may be strongly related to the availability and characteristics of oral formulation that may transform the innocuous Dr. Jekyll tablets into an evil Mr. Hyde. Restriction to the market of LMZ oral formulation might reduce the risk of high-dose abuse.

"Retweet to Pass the Blunt": Analyzing Geographic and Content Features of Cannabis-Related Tweeting Across the United States

OBJECTIVE

Twitter data offer new possibilities for tracking health-related communications. This study is among the first to apply advanced information processing to identify geographic and content features of cannabis-related tweeting in the United States.

METHOD

Tweets were collected using streaming Application Programming Interface (March-May 2016) and were processed by eDrugTrends to identify geolocation and classify content by source (personal communication, media, retail) and sentiment (positive, negative, neutral). States were grouped by cannabis legalization policies into "recreational," "medical, less restrictive," "medical, more restrictive," and "illegal." Permutation tests were performed to analyze differences among four groups in adjusted percentages of all tweets, unique users, personal communications only, and positive-to-negative sentiment ratios.

RESULTS

About 30% of all 13,233,837 cannabis-related tweets had identifiable state-level geo-information. Among geolocated tweets, 76.2% were personal communications, 21.1% media, and 2.7% retail. About 71% of personal communication tweets expressed positive sentiment toward cannabis; 16% expressed negative sentiment. States in the recreational group had significantly greater average adjusted percentage of cannabis tweets (3.01%) compared with other groups. For personal communication tweets only, the recreational group (2.47%) was significantly greater than the medical, more restrictive (1.84%) and illegal (1.85%) groups. Similarly, the recreational group had significantly greater average positive-to-negative sentiment ratio (4.64) compared with the medical, more restrictive (4.15) and illegal (4.19) groups. Average adjusted percentages of unique users showed similar differences between recreational and other groups.

CONCLUSIONS

States with less restrictive policies displayed greater cannabis-related tweeting and conveyed more positive sentiment. The study demonstrates the potential of Twitter data to become a valuable indicator of drug-related communications in the context of varying policy environments.

Challenges in implementing opioid agonist therapy in Lebanon: a qualitative study from a user's perspective

Background

Opioid agonist therapy (OAT) has been implemented for the treatment of individuals with opioid use disorders in Lebanon since 2011, but has not been evaluated yet. The aim of the study is to describe the implementation of the first pilot OAT program in Lebanon from the users’ perspective.

Methods

Data collectors gathered data from male participants during June 2016-July 2016. Eighty-one out of 94 patients agreed to participate in the study. Data regarding access to treatment, satisfaction with the treatment protocol and treatment outcomes, patient-provider relationship, and misuse and diversion was collected through semi-structured qualitative interviews. Data saturation was reached after 81 interviews; once no new themes were reported.

Results

Findings showed inequalities in access to treatment and showed that OAT improved mental and social wellbeing among users who had financial access and complied with the program protocols. Registering in the program protected users from arrest and reduced their economic burden. Among the main encountered challenges were fear of dependence to buprenorphine, restricted geographical access to treatment, misuse and diversion of buprenorphine.

Conclusion

Results implicate inequalities in access to OAT as one important gap to be tackled in the management of OAT in Lebanon. Further research should be done in order to understand the challenges in the implementation of the program from the providers’ perspectives.

Electronic supplementary material

The online version of this article (10.1186/s13011-018-0151-8) contains supplementary material, which is available to authorized users.

Exploring the use of drug trend data in the regional alcohol and other drug workforce

OBJECTIVE

Drug trend data can inform appropriate policies to minimise drug-related harm, as well as assist in early detection and prevention. While Australia has a number of monitoring systems, none operate in regional areas. The aim of this study was to explore how drug trend and other data are used by the regional alcohol and other drug workforce.

METHOD

Twenty-one key experts from regional Queensland were interviewed between November 2014 and August 2015. Key experts worked in or had contact with the broader alcohol and other drugs field in the Darling Downs area of Queensland. Interviews were analysed thematically.

SETTING

Darling Downs, Queensland.

RESULTS

Two themes emerged from the analysis. There were differences in workforce needs, with those in the law and criminal justice areas believing they had access to good, current data. Those in the health sector differed, although the majority indicated that there did appear to be a knowledge gap related to their location in a regional area.

CONCLUSIONS

Trends in the use of, and harms related to, substance use are well captured in urban areas, but less so in regional areas. This inhibits both our understanding of where substance use is changing, as well as how to best plan and respond.

"When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets

BACKGROUND

To harness the full potential of social media for epidemiological surveillance of drug abuse trends, the field needs a greater level of automation in processing and analyzing social media content.

OBJECTIVES

The objective of the study is to describe the development of supervised machine-learning techniques for the eDrugTrends platform to automatically classify tweets by type/source of communication (personal, official/media, retail) and sentiment (positive, negative, neutral) expressed in cannabis- and synthetic cannabinoid-related tweets.

METHODS

Tweets were collected using Twitter streaming Application Programming Interface and filtered through the eDrugTrends platform using keywords related to cannabis, marijuana edibles, marijuana concentrates, and synthetic cannabinoids. After creating coding rules and assessing intercoder reliability, a manually labeled data set (N=4000) was developed by coding several batches of randomly selected subsets of tweets extracted from the pool of 15,623,869 collected by eDrugTrends (May-November 2015). Out of 4000 tweets, 25% (1000/4000) were used to build source classifiers and 75% (3000/4000) were used for sentiment classifiers. Logistic Regression (LR), Naive Bayes (NB), and Support Vector Machines (SVM) were used to train the classifiers. Source classification (n=1000) tested Approach 1 that used short URLs, and Approach 2 where URLs were expanded and included into the bag-of-words analysis. For sentiment classification, Approach 1 used all tweets, regardless of their source/type (n=3000), while Approach 2 applied sentiment classification to personal communication tweets only (2633/3000, 88%). Multiclass and binary classification tasks were examined, and machine-learning sentiment classifier performance was compared with Valence Aware Dictionary for sEntiment Reasoning (VADER), a lexicon and rule-based method. The performance of each classifier was assessed using 5-fold cross validation that calculated average F-scores. One-tailed t test was used to determine if differences in F-scores were statistically significant.

RESULTS

In multiclass source classification, the use of expanded URLs did not contribute to significant improvement in classifier performance (0.7972 vs 0.8102 for SVM, P=.19). In binary classification, the identification of all source categories improved significantly when unshortened URLs were used, with personal communication tweets benefiting the most (0.8736 vs 0.8200, P<.001). In multiclass sentiment classification Approach 1, SVM (0.6723) performed similarly to NB (0.6683) and LR (0.6703). In Approach 2, SVM (0.7062) did not differ from NB (0.6980, P=.13) or LR (F=0.6931, P=.05), but it was over 40% more accurate than VADER (F=0.5030, P<.001). In multiclass task, improvements in sentiment classification (Approach 2 vs Approach 1) did not reach statistical significance (eg, SVM: 0.7062 vs 0.6723, P=.052). In binary sentiment classification (positive vs negative), Approach 2 (focus on personal communication tweets only) improved classification results, compared with Approach 1, for LR (0.8752 vs 0.8516, P=.04) and SVM (0.8800 vs 0.8557, P=.045).

CONCLUSIONS

The study provides an example of the use of supervised machine learning methods to categorize cannabis- and synthetic cannabinoid-related tweets with fairly high accuracy. Use of these content analysis tools along with geographic identification capabilities developed by the eDrugTrends platform will provide powerful methods for tracking regional changes in user opinions related to cannabis and synthetic cannabinoids use over time and across different regions.

Fentanyls: Are we missing the signs? Highly potent and on the rise in Europe

Fentanyl is a synthetic opioid analgesic historically used as a pain reliever and an anaesthetic. Recent concerns have arisen around the illicit use of fentanyl and its analogues in a number of European countries, linked to their high potency and associated risk of fatal overdose. Evidence has been emerging from Estonia for over a decade of entrenched patterns of fentanyl use, including injection of the drug and hundreds of overdose deaths. More recently, reports indicate that both fentanyl and 3-methylfentanyl (TMF) have been marketed as a replacement for heroin in European countries (e.g. Bulgaria, Slovakia) affected by heroin shortages. In addition, Germany, Finland and the United Kingdom, reported new outbreaks of fentanyl-related deaths. This combination of increasing mortality data alongside law enforcement intelligence suggesting both diversion and illicit production of fentanyls, prompted wider investigation using a targeted multi-source data collection exercise and analysis. This identified that in the European context, fentanyls are 'low use but high risk/harm' substances. Evidence shows that Estonia stands out as having an endemic problem, while the use of fentanyls in other European countries appears to be geographically localised. Developments in illicit supply of fentanyls reflect the complexity of Europe's contemporary drug market: manifesting illicit production and use, the diversion and misuse of medicines, and the online sale of non-controlled new psychoactive substances. Likewise effective and integrated responses will need to address fentanyl production, diversion as well as ensuring the availability of harm reduction measures to users.

Estimated magnitude of diversion and abuse of opioids relative to benzodiazepines in France

INTRODUCTION

Prescription drug abuse is a major concern in several countries. France appears to be particularly prone to the abuse of opiate maintenance treatment (OMT) opioids and benzodiazepines (BZD), whereas the abuse of opioid analgesics (OA) is less commonly reported. To estimate the extent of psychoactive drug abuse, the French drug agency relies on different methods measuring various diversion indicators used as proxies for the detection of abuse/misuse: suspicion of abuse/dependence, illegal acquisition by patients seen in specialized care centers, prescription forgery and doctor shopping. The main objectives of the present study are to analyse the abuse and diversion of opioids (both OA and OMT), in comparison with those of BZDs, through the concurrent use of three different data sources.

METHODS

Diversion and abuse of opioids were analysed using indicators of abuse and diversion derived from three data sources over the period 2006-2008. Then, opioids were compared to BZDs for the year 2008 using the same indicators.

RESULTS

The analysis suggests that BZDs are more commonly dispensed than OAs and OMTs but that abuse and diversion are related mainly to OMT (particularly to buprenorphine), morphine and BZDs and less to OAs (except for morphine).

CONCLUSION

This study presents an original approach, based on the use of multiple data sources, to evaluate and compare the estimated abuse and diversion of opioids and benzodiazepines. It provides health authorities with a global, comparative and summarized overall view of the importance of different patterns of diversion and abuse for different prescription drugs.

[Post-marketing surveillance systems for psychoactive prescription drug abuse]

Drugs affecting the central nervous system form a unique group of products for surveillance because they could be misused, abused or diverted. Considering the characteristics of this behaviour that is often concealed, specific post-marketing surveillance systems have been developed to monitor abuse of prescription drugs in some countries. The purpose of this review is to list and to describe post-marketing surveillance systems, according their methodology, in France and in foreign countries. These programs are based on adverse effect notifications, medical or legal consequences of abuse, general or specific population-based survey, professional networks or medication databases. Some programs use simultaneously several information sources. In conclusion, the multifaceted nature, the diversity and the inventiveness of post-marketing surveillance systems reflects the complexity of the abuse issue.

Buprenorphine and buprenorphine/naloxone diversion, misuse, and illicit use: an international review

The diversion, misuse, and non-medically supervised use of buprenorphine and buprenorphine/naloxone by opioid users are reviewed. Buprenorphine and buprenorphine/naloxone are used globally as opioid analgesics and in the treatment of opioid dependency. Diversion of buprenorphine and buprenorphine/naloxone represents a complex medical and social issue, and has been widely documented in various geographical regions throughout the world. We first discuss the clinical properties of buprenorphine and its abuse potential. Second, we discuss its diversion and illicit use on an international level, as well as motivations for those activities. Third, we examine the medical risks and benefits of buprenorphine's non-medically supervised use and misuse. These risks and benefits include the effect of buprenorphine's use on HIV risk and the risk of its concomitant use with other medications and drugs of abuse. Finally, we discuss the implications of diversion, misuse, and non-medically supervised use (including potential measures to address issues of diversion); and potential areas for further research.

Challenges of reliability and validity in the identification and monitoring of emerging drug trends

There is increasing pressure on drug monitoring systems to achieve earlier detection and greater precision in reporting of emerging drug use trends. Such systems typically operate in settings where government interest and the drug use trends themselves can be fluid. To achieve the goal of informing timely policy and practice responses in this environment, drug use monitoring systems must be flexible and responsive, as well as reliable and valid. This paper explores three interrelated areas relevant to trend monitoring that can benefit from a clearer focus in terms of increasing validity and reliability: the research paradigm to which systems adhere; the selection of sources or drug use indicators utilized by systems; and the process of analysis used by systems to ensure valid results. The reliability and validity of currently utilized drug use related indicators is discussed, with a focus on the validity of data sources as measures of emerging drug use trends. The relevance and utility of current descriptives such as "lagged" and "leading edge" indicators are assessed. Five dimensions, against which the validity of drug use indicators may be assessed in a trend-monitoring context are proposed as an alternative. Faced with a lack of clear conceptual frameworks underpinning and driving monitoring systems, it is argued that a pragmatic research paradigm can be adopted as a basis for guiding selection of indicators and helping to make explicit the concurrent or supplementary triangulation and analysis procedures on which valid results are necessarily founded. The current trend of using triangulation as the primary means of ensuring the validity of systems is critically reviewed and a challenge is issued to the field to make the analysis process more overt. No external funding was received for this article.

Recent Publications on Medications and Pharmacy

Hospital Pharmacy presents this feature to keep pharmacists abreast of new publications in the medical/pharmacy literature. Articles of interest regarding a broad scope of topics are abstracted monthly. Suggestions or comments may be addressed to Jacyntha Sterling, Drug Information Specialist at Saint Francis Hospital, 6161 S Yale Ave, Tulsa, OK 74136 or e-mail: jasterling@saintfrancis.com .