ArticleJournal of medical Internet research2020
Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Detecting Adverse Drug Events in Social Media: A Brief Literature Review.SN computer science · 2026Article
- Unveiling Social Media Content Related to ADHD Treatment: Machine Learning Study Using X's Posts over 15 Years.Healthcare (Basel, Switzerland) · 2025Article
- Transformer-based models for ADR detection: cross-drug validation and benchmarking against large language models.Therapeutic advances in drug safety · 2025Article
- The impact of a multi-micronutrient nutritional formula combined with cognitive behavioral therapy in managing symptoms of children with attention deficit hyperactivity disorder.Frontiers in pediatrics · 2025Article
- A Comparison of Combined Methylphenidate with Common Figs and Almond Syrup, Methylphenidate with Sweet Almond Syrup, and Methylphenidate with Placebo Syrup in the Treatment of Children and Adolescents with ADHD: A Randomized, Double-Blind, Parallel-Group Clinical Trial.Medical journal of the Islamic Republic of Iran · 2025Article
- "I Been Taking Adderall Mixing it With Lean, Hope I Don't Wake Up Out My Sleep": Harnessing Twitter to Understand Nonmedical Prescription Stimulant Use among Black Women and Men Subscribers.medRxiv : the preprint server for health sciences · 2024Article
- Differential Impact of Serotonin Signaling Methylphenidate on Young versus Adult: Insights from Behavioral and Dorsal Raphe Nucleus Neuronal Recordings from Freely Behaving Rats.International journal of molecular sciences · 2024Article
- Differential Roles of Key Brain Regions: Ventral Tegmental Area, Locus Coeruleus, Dorsal Raphe, Nucleus Accumbens, Caudate Nucleus, and Prefrontal Cortex in Regulating Response to Methylphenidate: Insights from Neuronal and Behavioral Studies in Freely Behaving Rats.International journal of molecular sciences · 2024Article
- Article
- Dopamine, Norepinephrine and Serotonin Participate Differently in Methylphenidate Action in Concomitant Behavioral and Ventral Tegmental Area, Locus Coeruleus and Dorsal Raphe Neuronal Study in Young Rats.International journal of molecular sciences · 2023Article
- The Adverse Effects and Nonmedical Use of Methylphenidate Before and After the Outbreak of COVID-19: Machine Learning Analysis.Journal of medical Internet research · 2023Article
- Fine-Tuning BERT Models to Classify Misinformation on Garlic and COVID-19 on Twitter.International journal of environmental research and public health · 2022Article
- Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study.Journal of personalized medicine · 2022Article
- Content and trend analysis of user-generated nicotine sickness tweets: A retrospective infoveillance study.Tobacco induced diseases · 2022Article
- Evidence That Methylphenidate Treatment Evokes Anxiety-Like Behavior Through Glucose Hypometabolism and Disruption of the Orbitofrontal Cortex Metabolic Networks.Neurotoxicity research · 2021Article
- Areas of Interest and Attitudes Toward Antiobesity Drugs: Thematic and Quantitative Analysis Using Twitter.Journal of medical Internet research · 2021Observational
- Classifying patient and professional voice in social media health posts.BMC medical informatics and decision making · 2021Article
- Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review.JMIR public health and surveillance · 2020Review
- Examining Symptoms of Stimulant Misuse and Community Support Among Members of a Recovery-Oriented Online Community.Journal of psychoactive drugsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMethylphenidate, a stimulant used to treat attention deficit hyperactivity disorder, has the potential to be used nonmedically, such as for studying and recreation. In an era when many people actively use social networking services, experience with the nonmedical use or side effects of methylphenidate might be shared on Twitter.
objectiveThe purpose of this study was to analyze tweets about the nonmedical use and side effects of methylphenidate using a machine learning approach.
methodsA total of 34,293 tweets mentioning methylphenidate from August 2018 to July 2019 were collected using searches for "methylphenidate" and its brand names. Tweets in a randomly selected training dataset (6860/34,293, 20.00%) were annotated as positive or negative for two dependent variables: nonmedical use and side effects. Features such as personal noun, nonmedical use terms, medical use terms, side effect terms, sentiment scores, and the presence of a URL were generated for supervised learning. Using the labeled training dataset and features, support vector machine (SVM) classifiers were built and the performance was evaluated using F
resultsOf the 6860 tweets in the training dataset, 5.19% (356/6860) and 5.52% (379/6860) were about nonmedical use and side effects, respectively. Performance of SVM classifiers for nonmedical use and side effects, expressed as F
conclusionsThe SVM classifiers that were built in this study were highly precise and accurate and will help to automatically identify the nonmedical use and side effects of methylphenidate using Twitter.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.