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MINING SOCIAL MEDIA BIG DATA FOR TOXICOVIGILANCE: STUDYING SUBSTANCE USE VIA NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING METHODS - THE EPIDEMIC OF SUBSTANCE USE (SU) AND SUBSTANCE USE DISORDER (SUD) IN THE UNITED ST

USAspending · observation · Publication date unknown

MINING SOCIAL MEDIA BIG DATA FOR TOXICOVIGILANCE: STUDYING SUBSTANCE USE VIA NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING METHODS - THE EPIDEMIC OF SUBSTANCE USE (SU) AND SUBSTANCE USE DISORDER (SUD) IN THE UNITED STATES HAS BEEN EVOLVING FOR DECADES. BOTH PRESCRIPTION AND ILLICIT DRUGS HAVE BEEN INVOLVED IN OVERDOSE DEATHS OVER THE YEARS, WITH NOTABLE INCREASES IN SYNTHETIC OPIOIDS (EG., FENTANYL & ANALOGS) AND PSYCHOSTIMULANTS (EG., METHAMPHETAMINE) IN RECENT YEARS. THE EMERGENCE OF HIGH-POTENCY NOVEL PSYCHOACTIVE SUBSTANCES (NPSS), SUCH AS FENTANYL ANALOGS, HAVE DRASTICALLY CONTRIBUTED

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recordType
award
region
US
value
2185151
unit
USD

Evidence & attribution

First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.