scholarly journals Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts

10.2196/24486 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e24486
Author(s):  
Zhengyi Li ◽  
Xiangyu Du ◽  
Xiaojing Liao ◽  
Xiaoqian Jiang ◽  
Tiffany Champagne-Langabeer
Keyword(s):  
Public Health ◽  
Supply Chain ◽  
Large Scale ◽  
Supply And Demand ◽  
Opioid Use Disorder ◽  
Public Health Issue ◽  
Opioid Use ◽  
Cross Sectional ◽  
Online Marketplaces ◽  
Trading Activities

Background Opioid use disorder presents a public health issue afflicting millions across the globe. There is a pressing need to understand the opioid supply chain to gain new insights into the mitigation of opioid use and effectively combat the opioid crisis. The role of anonymous online marketplaces and forums that resemble eBay or Amazon, where anyone can post, browse, and purchase opioid commodities, has become increasingly important in opioid trading. Therefore, a greater understanding of anonymous markets and forums may enable public health officials and other stakeholders to comprehend the scope of the crisis. However, to the best of our knowledge, no large-scale study, which may cross multiple anonymous marketplaces and is cross-sectional, has been conducted to profile the opioid supply chain and unveil characteristics of opioid suppliers, commodities, and transactions. Objective We aimed to profile the opioid supply chain in anonymous markets and forums via a large-scale, longitudinal measurement study on anonymous market listings and posts. Toward this, we propose a series of techniques to collect data; identify opioid jargon terms used in the anonymous marketplaces and forums; and profile the opioid commodities, suppliers, and transactions. Methods We first conducted a whole-site crawl of anonymous online marketplaces and forums to solicit data. We then developed a suite of opioid domain–specific text mining techniques (eg, opioid jargon detection and opioid trading information retrieval) to recognize information relevant to opioid trading activities (eg, commodities, price, shipping information, and suppliers). Subsequently, we conducted a comprehensive, large-scale, longitudinal study to demystify opioid trading activities in anonymous markets and forums. Results A total of 248,359 listings from 10 anonymous online marketplaces and 1,138,961 traces (ie, threads of posts) from 6 underground forums were collected. Among them, we identified 28,106 opioid product listings and 13,508 opioid-related promotional and review forum traces from 5147 unique opioid suppliers’ IDs and 2778 unique opioid buyers’ IDs. Our study characterized opioid suppliers (eg, activeness and cross-market activities), commodities (eg, popular items and their evolution), and transactions (eg, origins and shipping destination) in anonymous marketplaces and forums, which enabled a greater understanding of the underground trading activities involved in international opioid supply and demand. Conclusions The results provide insight into opioid trading in the anonymous markets and forums and may prove an effective mitigation data point for illuminating the opioid supply chain.

scholarly journals Demystifying the Opioid Trade in Anonymous Markets and Forums (Preprint)

2020 ◽  
Author(s):  
Zhengyi Li ◽  
Xiangyu Du ◽  
Xiaojing Liao ◽  
Xiaoqian Jiang ◽  
Tiffany Champagne-Langabeer
Keyword(s):  
Public Health ◽  
Supply Chain ◽  
Large Scale ◽  
Supply And Demand ◽  
Opioid Use Disorder ◽  
Public Health Issue ◽  
Opioid Use ◽  
Longitudinal Measurement ◽  
Online Marketplaces ◽  
Trading Activities

BACKGROUND Opioid use disorder presents a public health issue afflicting millions across the globe. There is a pressing need to understand the opioid supply chain to gain new insights into the mitigation of opioid use and effectively combat the opioid crisis. The role of anonymous online marketplaces and forums that resemble eBay or Amazon, where anyone can post, browse, and purchase opioid commodities, has become more and more important in opioid trading. Therefore, a greater understanding of anonymous markets and forums may enable public health officials and other stakeholders to comprehend the scope of the crisis. OBJECTIVE The objective of this work is to profile the opioid supply chain in anonymous markets and forums via a large-scale, longitudinal measurement study on anonymous market listings and posts. Toward this, we propose a series of techniques to collect data, to identify opioid jargon terms used in the anonymous marketplaces and forums, and to profile the opioid commodities, suppliers, and transactions. METHODS We first conducted a whole-site crawl of anonymous online marketplaces and forums to solicit data. Then, we developed a suite of opioid domain-specific text mining techniques (e.g., opioid jargon detection, opioid trading information retrieval) to recognize information relevant to opioid trading activities (e.g., commodities, price, shipping information, suppliers, etc.). After that, we conducted a comprehensive, large-scale, longitudinal study to demystify opioid trading activities in anonymous markets and forums. RESULTS A total of 248,359 listings from 10 anonymous online marketplaces and 1,138,961 traces (i.e., threads of posts) from 6 underground forums were collected. Among them, we identified 28,106 opioid product listings and 13,508 opioid-related promotional and review forum traces from 5147 unique opioid suppliers’ IDs and 2778 unique opioid buyers’ IDs. Our study characterized opioid suppliers (e.g., activeness and cross-market activities), commodities (e.g., popular items and their evolution), and transactions (e.g., origins and shipping destination) in anonymous marketplaces and forums, which enabled a greater understanding of the underground trading activities involved in international opioid supply and demand. CONCLUSIONS The results provide insight into opioid trading in the anonymous markets and forums, and may prove an effective mitigation data point for illuminating the opioid supply chain.

Socio-demographic and Clinical Characteristics of Patient with Thyroid Cancer

2020 ◽  
Vol 11 (1) ◽  
pp. 54-58
Author(s):  
AKM Farhad Hossain ◽  
Md Mahmudur Rahman Siddiqui ◽  
Sayada Fatema Khatun
Keyword(s):  
Public Health ◽  
Thyroid Cancer ◽  
Clinical Characteristics ◽  
Family Income ◽  
Ethical Issues ◽  
Endocrine System ◽  
Public Health Problem ◽  
Follicular Carcinoma ◽  
Public Health Issue ◽  
Cross Sectional

Background: Thyroid cancer is the most common malignant disease in endocrine system. It is an emerging public health issue associated with burden on the family, community and the nation. The aim of this study is to determine the socio-demographic and clinical characteristics of patient with thyroid cancer attending in tertiary hospital. Methods: This cross sectional study was conducted among 246 thyroid cancer patients in two tertiary hospitals of Dhaka city from 01 July 2018 to 30 June 2019. The subjects were selected purposively following specific selection criteria and maintaining ethical issues. Data were collected by face to face interview using a semi-structured questionnaire and checklist. Data were analyzed by the statistical package for the social science (SPSS) version 23. Results: This study revealed that majority (74.4%) of respondents was female, married (72%), housewife (61.4%), rural respondent (41.1%) and had primary education (69%). Mean (± SD) age of the respondent was 37.85(±12.20) years (Range 14-70 years) and mean (± SD) monthly family income was Tk. 17681(±10602). Out of 246 cases, 204 (82.9%) was papillary and 42 (17.1%) was follicular carcinoma. Various clinical presentations included visible neck swelling in 225 (91.5%), swollen lymph node in 103 (41.9%), pain 90 (36.6%), Difficulties in swallowing 87 (35.4%), Hoarseness of voice in 141 (57.3%), cough along with swelling 47(19.1%), Difficulties in breathing due to swelling in 13(5.3%) of the patients. Conclusion: Incidence of thyroid cancer has increased worldwide specially in female patients in 3rd and 4th decades of life. As thyroid cancer is a growing public health problem in Bangladesh, proper screening and early diagnostic facilities at all level should be available to measure its actual burden in the country. Anwer Khan Modern Medical College Journal Vol. 11, No. 1: Jan 2020, P 54-58

scholarly journals Public Health Workforce Burnout in the COVID-19 Response in the U.S.

2021 ◽  
Vol 18 (8) ◽  
pp. 4369
Author(s):  
Kahler W. Stone ◽  
Kristina W. Kintziger ◽  
Meredith A. Jagger ◽  
Jennifer A. Horney
Keyword(s):  
Public Health ◽  
Health Workforce ◽  
Work Experience ◽  
Large Scale ◽  
Health Workers ◽  
Public Health Workforce ◽  
Cross Sectional Survey ◽  
Public Health Response ◽  
Cross Sectional ◽  
The U.S

While the health impacts of the COVID-19 pandemic on frontline health care workers have been well described, the effects of the COVID-19 response on the U.S. public health workforce, which has been impacted by the prolonged public health response to the pandemic, has not been adequately characterized. A cross-sectional survey of public health professionals was conducted to assess mental and physical health, risk and protective factors for burnout, and short- and long-term career decisions during the pandemic response. The survey was completed online using the Qualtrics survey platform. Descriptive statistics and prevalence ratios (95% confidence intervals) were calculated. Among responses received from 23 August and 11 September 2020, 66.2% of public health workers reported burnout. Those with more work experience (1–4 vs. <1 years: prevalence ratio (PR) = 1.90, 95% confidence interval (CI) = 1.08−3.36; 5–9 vs. <1 years: PR = 1.89, CI = 1.07−3.34) or working in academic settings (vs. practice: PR = 1.31, CI = 1.08–1.58) were most likely to report burnout. As of September 2020, 23.6% fewer respondents planned to remain in the U.S. public health workforce for three or more years compared to their retrospectively reported January 2020 plans. A large-scale public health emergency response places unsustainable burdens on an already underfunded and understaffed public health workforce. Pandemic-related burnout threatens the U.S. public health workforce’s future when many challenges related to the ongoing COVID-19 response remain unaddressed.

scholarly journals What Differs between Patients under Methadone and under Buprenorphine for Opioid Use Disorder (OUD) in Daily Clinical Practice in France? A Short Report

2021 ◽  
Vol 18 (4) ◽  
pp. 1425
Author(s):  
Morgane Guillou-Landreat ◽  
Antoine Dany ◽  
Gaëlle Challet-Bouju ◽  
Edouard Laforgue ◽  
Juliette Leboucher ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Opioid Use Disorder ◽  
Term Treatment ◽  
Pharmacological Therapy ◽  
Daily Clinical Practice ◽  
Short Report ◽  
Opioid Use ◽  
Cross Sectional ◽  
Long Term Treatment ◽  
Social Profiles

(1) Background: Opioid use disorder (OUD) is a complex condition that can require long-term treatment. Pharmacological therapy for OUD involves treatment with opioid agonists (OMT) tailored to individual profiles. The aim of our study in daily clinical practice was to compare the profiles of patients treated with methadone (MTD) and those using buprenorphine (BHD or BHD-naloxone-NX). (2) Methods: A cross-sectional multicentre study explored the psychological, somatic and social profiles of patients with Opioid Use Disorder (OUD) following Opioid Maintenance Treatment (BHD, BHD/NX, or MTD). Descriptive and comparative analyses were performed (3) Results: 257 patients were included, a majority were men using heroin. 68% (178) were on MTD, 32% (79) were on BHD. Patients with MTD were significantly more likely to report socio-affective damage, and more likely to be younger and not to report oral or sublingual use as the main route for heroin or non-medical opioids (4) Conclusions: In daily clinical practice, regarding OUD damage, only socio-affective damage was significantly more prevalent among patients on MTD than among those on BHD in the multivariate model. Age and route of administration also differed, and our results could raise the issue of the type of OMT prescribed in case of non-medical use of prescribed opioids. These hypothesis should be confirmed in larger studies.

Network effect in shared supply chain platform value co-creation behavior in evolutionary game1

2021 ◽  
pp. 1-12
Author(s):  
Zou Xiaohong ◽  
Chen Jinlong ◽  
Gao Shuanping
Keyword(s):  
Boundary Condition ◽  
Supply Chain ◽  
Large Scale ◽  
Simulation Analysis ◽  
Supply And Demand ◽  
Evolutionary Game ◽  
Dynamic Game ◽  
Network Effect ◽  
Chain Model ◽  
The Cost

The shared supply chain model has provided new ideas for solving contradictions between supply and demand for large-scale standardized production by manufacturers and personalized demands of consumers. On the basis of a platform network effect perspective, this study constructs an evolutionary game model of value co-creation behavior for a shared supply chain platform and manufacturers, analyzes their evolutionary stable strategies, and uses numerical simulation analysis to further verify the model. The results revealed that the boundary condition for manufacturers to participate in value co-creation on a shared supply chain platform is that the net production cost of the manufacturers’ participation in the platform value co-creation must be less than that of nonparticipation. In addition, the boundary condition for the shared supply chain platform to actively participate in value co-creation is that the cost of the shared supply chain platform for active participation in value co-creation must be less than that of passive participation. Moreover, value co-creation behavior on the shared supply chain platform is a dynamic game interaction process between players with different benefit perceptions. Finally, the costs and benefits generated by the network effect can affect value co-creation on shared supply chain platforms.

Primary Care of Opioid use Disorder: The End of “the French Model”?

2020 ◽  
Vol 26 (6) ◽  
pp. 346-354 ◽  
Author(s):  
Julie Dupouy ◽  
Sandy Maumus-Robert ◽  
Yohann Mansiaux ◽  
Antoine Pariente ◽  
Maryse Lapeyre-Mestre
Keyword(s):  
Primary Care ◽  
Private Practice ◽  
Primary Care Providers ◽  
Opioid Use Disorder ◽  
Care Providers ◽  
Opioid Use ◽  
Access To Treatment ◽  
Cross Sectional ◽  
Number Of Patients ◽  
French Model

<b><i>Background:</i></b> In France, most patients with opioid use disorder (OUD) have been treated by buprenorphine, prescribed by general practitioners (GP) in private practice since 1996. This has contributed to building a ‘French model’ facilitating access to treatment based on the involvement of GPs in buprenorphine prescription. <b><i>Objectives:</i></b> Our study aimed to assess whether the involvement of primary care in OUD management has changed lately. <b><i>Materials and Methods:</i></b> Using data from the French National Health Insurance database, we conducted a yearly repeated cross-sectional study (2009–2015) and described proportion of opioid maintenance treatment (OMT)-prescribing GPs and OMT-dispensing community pharmacies (CP); and number of patients by GP or CP. <b><i>Results:</i></b> Whereas the number of buprenorphine-prescribing GPs in private practice remained quite stable (decrease of 3%), a substantial decrease in buprenorphine initial prescribers among private GPs was observed. In 2009, 10.3% of private GPs (6,297 from 61,301 French private GPs) prescribed buprenorphine for the initiation of a treatment, whereas they were 5.7% (<i>n</i> = 3,539 from 62,071 private GPs) in 2015 (43.8% decrease). GPs issuing initial prescriptions of buprenorphine tended to care for a higher number of patients treated by buprenorphine (14.6 ± 27.1 patients in 2009 to 16.0 ± 35.4 patients in 2015). The number of CPs dispensing buprenorphine remained quite stable (decrease of 2%), while there was a 7.5% decrease in the total number of French CPs across the study period. <b><i>Conclusions:</i></b> Our results suggest that primary care providers seem less engaged in buprenorphine initiation in OUD patients, while CPs have not modified their involvement towards these patients.

Neurofeedback for Opioid Dependent Patients in an Outpatient Setting: A Pilot Feasibility Study

2021 ◽  
Author(s):  
Helena A. Rempala ◽  
Justin A. Barterian
Keyword(s):  
Large Scale ◽  
The United States ◽  
Outpatient Setting ◽  
Opioid Use Disorder ◽  
High Rate ◽  
Treatment Center ◽  
Opioid Use ◽  
Treatment As Usual ◽  
Factors Affecting ◽  
Study Approach

Abstract Background: Neurofeedback (NF) has been described as “probably efficacious” when used in conjunction with other interventions for substance use disorders, including the most recent studies in population of individuals with opioid use disorder. Despite these promising outcomes, the seriousness of the opioid epidemic, and the high rate of relapse even with the most effective medication-assisted maintenance treatments NF continues to be an under-researched treatment modality. This article explores factors that affected the feasibility of adding Alpha/Theta Neurofeedback to treatment as usual for opioid dependence in an outpatient urban treatment center. The study strived to replicate previous research completed in Iran that found benefits of NF for opioid dependence.Methods: Out of approximately two dozen patients eligible for Alpha/Theta NF, about 60% (n=15) agreed to participate; however, only 2 participants completed treatment. The rates of enrollment in response to active treatment were monitored. Results: The 4 factors affecting feasibility were: 1) the time commitment required of participants, 2) ineffectiveness of standard incentives to promote participation, 3) delayed effects of training, and 4) the length and number of treatments required.Conclusion: The findings indicate a large scale study examining the use of NF for the treatment of opioid use disorder in the United States will likely be difficult to accomplish without modification to the traditional randomized control study approach and suggests challenges to the implementation of this treatment in an outpatient setting.

scholarly journals Data-Driven Decision Making and Proactive Citizen–Scientist Communication: A Cross-Sectional Study on COVID-19 Vaccination Adherence

Vaccines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1384
Author(s):  
Emil Syundyukov ◽  
Martins Mednis ◽  
Linda Zaharenko ◽  
Eva Pildegovica ◽  
Ieva Danovska ◽  
...  
Keyword(s):  
Public Health ◽  
Logistic Regression ◽  
Exploratory Study ◽  
Large Scale ◽  
Severe Disease ◽  
Data Driven ◽  
Personal Factors ◽  
Cross Sectional ◽  
Digital Platform ◽  
Factors Associated

Due to the severe impact of COVID-19 on public health, rollout of the vaccines must be large-scale. Current solutions are not intended to promote an active collaboration between communities and public health researchers. We aimed to develop a digital platform for communication between scientists and the general population, and to use it for an exploratory study on factors associated with vaccination readiness. The digital platform was developed in Latvia and was equipped with dynamic consent management. During a period of six weeks 467 participants were enrolled in the population-based cross-sectional exploratory study using this platform. We assessed demographics, COVID-19-related behavioral and personal factors, and reasons for vaccination. Logistic regression models adjusted for the level of education, anxiety, factors affecting the motivation to vaccinate, and risk of infection/severe disease were built to investigate their association with vaccination readiness. In the fully adjusted multiple logistic regression model, factors associated with vaccination readiness were anxiety (odds ratio, OR = 3.09 [95% confidence interval 1.88; 5.09]), feelings of social responsibility (OR = 1.61 [1.16; 2.22]), and trust in pharmaceutical companies (OR = 1.53 [1.03; 2.27]). The assessment of a large number of participants in a six-week period show the potential of a digital platform to create a data-driven dialogue on vaccination readiness.

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