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![We’re talking about fentanyl and xylazine all wrong](https://www.inquirer.com/resizer/iGRs-2_4mi1Q6JusTYRhfiG7adk=/800x533/smart/filters:format(webp)/cloudfront-us-east-1.images.arcpublishing.com/pmn/ZQKMATJJQBDWFJABQXNS5WJAE4.jpg)
Rather than stigmatizing people living with addiction, the most important thing we can do is encourage and support people in their journey to recovery.
What are patients talking about on Facebook, Reddit, Twitter and other places? It could be revealing.
![JAMIA Explores Self-Reported Covid-19 Symptoms On Twitter As Research Resource](https://imageio.forbes.com/specials-images/imageserve/5f0e72a2b019f50006489ded/In-this-photo-illustration-the-official-page-of-the---/960x0.jpg?format=jpg&width=1440)
A new report from the Journal of the American Medical Informatics Association looks at Twitter and tweeted instances of self-reported Covid-19 symptoms.
The battle against opioid abuse could have a new tool in its arsenal–Twitter. Research indicates that the site provides a quick, reliable snapshot of who’s using what drugs and where throughout the country.
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![X, Formerly Twitter, Offers Valuable Insights Into Self-Reported Chronic Pain Using Machine Learning](https://1734811051.rsc.cdn77.org/data/images/full/437870/elon-musk-changes-twitter-name-and-logo-to-x.jpg?w=820)
The study, showcasing the automation of processes, sets the stage for future data mining and causal association studies.
![Cannabis can have serious health effects that Canadians may not be aware of, like nonstop vomiting and heart issues](https://images.theconversation.com/files/524516/original/file-20230504-27-tqv597.jpg?ixlib=rb-1.1.0&rect=307%2C291%2C2366%2C1183&q=45&auto=format&w=1356&h=668&fit=crop)
The government has an obligation to ensure that information about the health risks of cannabis use is as equally accessible to the public as cannabis products have become.
![Reddit as window into opioid withdrawl strategies](https://www.emoryhealthsciblog.com/wp-content/uploads/2022/02/Fentanyl-ALT.jpg)
Drug abuse researchers are using the social media site Reddit as a window into the experiences of people living with opioid addiction.
![Twitter chatter identifies fraudulent COVID-19 products early](https://d2jx2rerrg6sh3.cloudfront.net/image-handler/ts/20220518122057/ri/750/src/images/news/ImageForNews_714036_16528476569115091.jpg)
In a recent study posted to the medRxiv pre-print server, researchers evaluated methods that could automatically and quickly detect counterfeit COVID-19 prevention and treatment products using Twitter chats.
People with long COVID are going online to look for support. But these valuable discussion forums, chat groups and other online peer-support networks can also spread harmful misinformation.
![Social media posts might be able to help researchers understand and predict opioid overdoses](https://www.popsci.com/uploads/2019/11/06/2B3UXIYDFZC55FL55A6GLZHY2Q.jpg?auto=webp&optimize=high&width=1440)
Public social media posts contain an enormous volume of information about the activities, ideas, and passing thoughts of millions of people around the world.
![How AI, Twitter can improve our understanding of the opioid epidemic](https://healthexec.com/sites/default/files/styles/top_stories/public/2018-08/handfull-pills.jpg.webp?itok=AezYKooW)
Machine learning, natural language processing and social media can help researchers track the ongoing opioid epidemic, according to new findings published in JAMA Network Open.
![Those tweets about your meds? They’re being analyzed](https://www.the-parallax.com/content/images/size/w1140/wp-content/uploads/2015/10/twittermeds_pk_v2.png)
Disclosures about personal prescription drug use aren’t just taking place behind the closed doors of doctors’ offices and rehab facilities. They’re also happening on public forums.
![Behind the rise in prescription drug overdoses](https://www.psychiatryadvisor.com/wp-content/uploads/sites/8/2018/12/prescriptiondrugoverdose_936406.png)
Overdose deaths from prescription medications are at an all time high, according to a recent report by the CDC and NIDA.