FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912507414> ?p ?o ?g. }

• W2912507414 endingPage "272" @default.
• W2912507414 startingPage "263" @default.
• W2912507414 abstract "Nonmedical prescription psychiatric drug use (NMPDU) is an increasing global health problem, with recent concern focusing on darknet cryptomarkets as sources of procurement. There is a shortage of evidence regarding comparative worldwide NMPDU trends, due in part to data collection difficulties. This problem is particularly marked for non-opioid drugs, particularly those psychiatric drugs which act on the central nervous system (CNS) and have high misuse potential and are associated with high levels of dependency and fatal overdose. This paper therefore has two goals: 1) to report on the kinds of psychiatric prescription drugs available on cryptomarkets, and 2) to use this data to uncover temporal and geographical trends in sales of these products, potentially informing policy regarding NMPDU more generally. Digital trace data collected from 31 cryptomarkets in operation between September 2013 and July 2016 was analysed by country of origin descriptively and for trends in the sales for 7 psychiatric drug groupings, based on their main indication or intended use in psychiatric practice. Sedatives (such as diazepam and alprazolam) and CNS stimulants (mainly Adderall, modafinil and methylphenidate) had the greatest share of sales, but usage and trends varied by location. The UK has high and rising levels of sedative sales, whilst the USA has the greatest stimulant sales and increasing sedative rates. Sales of drugs used in the treatment of opioid dependency are also substantial in the USA. The picture is less clear in mainland Europe with high sales levels reported in unexpected Central and Northern European countries. There is evidence of a move towards the more potent sedative alprazolam – already implicated as a source of problematic NMPDU in the USA – in Australia and the UK. Sales of drugs such as antidepressants, antipsychotics, mood stabilisers and antidementia drugs – all drugs with limited abuse potential – were negligible, indicating minimal levels of online cryptomarket procurement for self-medicating mental health problems. Predominantly, psychiatric drugs with potent sedative, stimulant or euphoriant effects are sold on cryptomarkets and this varies by country. With some caveats regarding the limitations of cryptomarket digital trace data taken into account, the study of trends of these products sold online over time may offer a novel and increasingly important window onto wider drug purchasing habits." @default.
• W2912507414 created "2019-02-21" @default.
• W2912507414 creator A5001981126 @default.
• W2912507414 creator A5005303975 @default.
• W2912507414 creator A5039765242 @default.
• W2912507414 date "2019-11-01" @default.
• W2912507414 modified "2023-10-18" @default.
• W2912507414 title "Nonmedical prescription psychiatric drug use and the darknet: A cryptomarket analysis" @default.
• W2912507414 cites W1514527998 @default.
• W2912507414 cites W1702997027 @default.
• W2912507414 cites W2010496738 @default.
• W2912507414 cites W2030110420 @default.
• W2912507414 cites W2060154889 @default.
• W2912507414 cites W2073975041 @default.
• W2912507414 cites W2077644604 @default.
• W2912507414 cites W2103153862 @default.
• W2912507414 cites W2154762557 @default.
• W2912507414 cites W2198876128 @default.
• W2912507414 cites W2208973259 @default.
• W2912507414 cites W2281412879 @default.
• W2912507414 cites W2289450079 @default.
• W2912507414 cites W2298112827 @default.
• W2912507414 cites W2345504771 @default.
• W2912507414 cites W2346325164 @default.
• W2912507414 cites W2346659646 @default.
• W2912507414 cites W2395023325 @default.
• W2912507414 cites W2443488742 @default.
• W2912507414 cites W2462379816 @default.
• W2912507414 cites W2489085829 @default.
• W2912507414 cites W2507674152 @default.
• W2912507414 cites W2543482174 @default.
• W2912507414 cites W2555845543 @default.
• W2912507414 cites W2559994128 @default.
• W2912507414 cites W2561599735 @default.
• W2912507414 cites W2589897633 @default.
• W2912507414 cites W2620692324 @default.
• W2912507414 cites W2737409744 @default.
• W2912507414 cites W2739695698 @default.
• W2912507414 cites W2763946537 @default.
• W2912507414 cites W2764308304 @default.
• W2912507414 cites W2765290347 @default.
• W2912507414 cites W2766526225 @default.
• W2912507414 cites W2768865188 @default.
• W2912507414 cites W2769038896 @default.
• W2912507414 cites W2782327433 @default.
• W2912507414 cites W2786210296 @default.
• W2912507414 cites W2789318589 @default.
• W2912507414 cites W2793088603 @default.
• W2912507414 cites W2793361321 @default.
• W2912507414 cites W2793673718 @default.
• W2912507414 cites W2796312514 @default.
• W2912507414 cites W2801367882 @default.
• W2912507414 cites W2808086547 @default.
• W2912507414 cites W2808156649 @default.
• W2912507414 cites W2808486519 @default.
• W2912507414 cites W2922011958 @default.
• W2912507414 cites W656897628 @default.
• W2912507414 doi "https://doi.org/10.1016/j.drugpo.2019.01.016" @default.
• W2912507414 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6900283" @default.
• W2912507414 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30772109" @default.
• W2912507414 hasPublicationYear "2019" @default.
• W2912507414 type Work @default.
• W2912507414 sameAs 2912507414 @default.
• W2912507414 citedByCount "25" @default.
• W2912507414 countsByYear W29125074142019 @default.
• W2912507414 countsByYear W29125074142020 @default.
• W2912507414 countsByYear W29125074142021 @default.
• W2912507414 countsByYear W29125074142022 @default.
• W2912507414 countsByYear W29125074142023 @default.
• W2912507414 crossrefType "journal-article" @default.
• W2912507414 hasAuthorship W2912507414A5001981126 @default.
• W2912507414 hasAuthorship W2912507414A5005303975 @default.
• W2912507414 hasAuthorship W2912507414A5039765242 @default.
• W2912507414 hasBestOaLocation W29125074141 @default.
• W2912507414 hasConcept C118552586 @default.
• W2912507414 hasConcept C2426938 @default.
• W2912507414 hasConcept C2777112843 @default.
• W2912507414 hasConcept C2778858636 @default.
• W2912507414 hasConcept C2780557958 @default.
• W2912507414 hasConcept C2780783007 @default.
• W2912507414 hasConcept C71924100 @default.
• W2912507414 hasConcept C98274493 @default.
• W2912507414 hasConceptScore W2912507414C118552586 @default.
• W2912507414 hasConceptScore W2912507414C2426938 @default.
• W2912507414 hasConceptScore W2912507414C2777112843 @default.
• W2912507414 hasConceptScore W2912507414C2778858636 @default.
• W2912507414 hasConceptScore W2912507414C2780557958 @default.
• W2912507414 hasConceptScore W2912507414C2780783007 @default.
• W2912507414 hasConceptScore W2912507414C71924100 @default.
• W2912507414 hasConceptScore W2912507414C98274493 @default.
• W2912507414 hasFunder F4320311904 @default.
• W2912507414 hasLocation W29125074141 @default.
• W2912507414 hasLocation W29125074142 @default.
• W2912507414 hasLocation W29125074143 @default.
• W2912507414 hasLocation W29125074144 @default.
• W2912507414 hasLocation W29125074145 @default.
• W2912507414 hasOpenAccess W2912507414 @default.
• W2912507414 hasPrimaryLocation W29125074141 @default.

• next