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Record W6969015466 · doi:10.5281/zenodo.3533251

DRUGS DEATHS COMPARISON: USA VS EUROPE VS ISRAEL. WHICH COUNTRY IS SAFER? By DON JURAVIN

2019· article· en· W6969015466 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsDrugPopulationCannabisCause of deathPublic healthMortality rate

Abstract

fetched live from OpenAlex

DRUGS DEATHS COMPARISON: USA VS EUROPE VS ISRAEL. WHICH COUNTRY IS SAFER? By DON JURAVIN\n\nDon Karl Juravin (JURAVIN RESEARCH) conducted a world's thorough study of the drug deaths comparing 230 countries.\n\nDeath From Drugs (Cannabis, Opioids, Cocaine, Amphetamine-type stimulants, Tranquilizers and sedatives, Hallucinogens, Solvents, and inhalants)\n\nrate per 1,000,000 aged 15-64 | lower is better | 2018 report\n\nComparing USA Vs. Europe’s top countries (Germany, France, Italy) Vs. Israel\n\n \n\nWINNER: Israel\n\n\n\t\n\tIsrael's deaths from drugs are 4.28 times better than the world average\n\t\n\t\n\tIsrael's deaths from drugs are 20.66 times better than the USA\n\t\n\t\n\tIsrael's deaths from drugs are 1.01 times better than Euro-top\n\t\n\n\nAnnual deaths\n\n\n\t\n\tIsrael: 83 deaths\n\t\n\t\n\tEuro-top: 1,639 deaths\n\t\n\t\n\tUSA: 63,632 deaths\n\t\n\n\nImportant Key Facts\n\n\n\t\n\tAbout 275 million people worldwide, which is roughly 5.6 percent of the global population aged 15–64 years, used drugs at least once during 2016.\n\t\n\t\n\tSome 31 million people who use drugs suffer from drug use disorders, meaning that their drug use is harmful to the point where they may need treatment. \n\t\n\t\n\tInitial estimates suggest that, globally, 13.8 million young people aged 15–16 years used cannabis in the past year, equivalent to a rate of 5.6 percent. \n\t\n\t\n\tRoughly 450,000 people died as a result of drug use in 2015, according to WHO. Of those deaths, 167,750 were directly associated with drug use disorders (mainly overdoses). The rest were indirectly attributable to drug use and included deaths related to HIV and hepatitis C acquired through unsafe injecting practices. \n\t\n\t\n\tOpioids continued to cause the most harm, accounting for 76 percent of deaths where drug use disorders were implicated. \n\t\n\t\n\tPrevalence of people who inject drugs — some 10.6 million worldwide in 2016 — endure the greatest health risks. More than half of them live with hepatitis C, and one in eight live with HIV.\n\t\n\t\n\tTotal global opium production jumped by 65 percent from 2016 to 2017, to 10,500 tons, easily the highest estimate recorded by UNODC since it started monitoring global opium production at the beginning of the twenty-first century.\n\t\n\t\n\tThe surge in opium poppy cultivation in Afghanistan meant that the total area under opium poppy cultivation worldwide increased by 37 percent from 2016 to 2017, to almost 420,000 ha. More than 75 percent of that area is in Afghanistan.\n\t\n\t\n\tGlobal cocaine manufacture in 2016 reached its highest level ever: an estimated 1,410 tons. After falling during the period 2005–2013, global cocaine manufacture rose by 56 percent during the period 2013–2016. The increase from 2015 to 2016 was 25 percent. \n\t\n\t\n\tMost of the world’s cocaine comes from Colombia, which boosted its manufacture by more than one third from 2015 to 2016, to some 866 tons. The total area under coca bush cultivation worldwide in 2016 was 213,000 ha, almost 69 percent of which was in Colombia.\n\t\n\t\n\tOne in eight people who inject drugs is living with HIV. Injecting drugs is a major route for transmission of the HCV virus.\n\t\n\t\n\tAlmost half of all prevalence of people who inject drugs worldwide in 2016 were estimated to reside in just three countries: China, the Russian Federation, and the United States. Although these three countries combined account for just 27 percent of the global population aged 15–64 years, together they are home to 45 percent of the world’s prevalence of people who inject drugs, an estimated 4.8 million people. \n\t\n\t\n\tIn 2015 and 2016, for the first time in half a century, life expectancy in the United States of America declined for two consecutive years. A key factor was the increase in unintentional injuries, which includes overdose deaths. \n\t\n\t\n\tIn 2016, 63,632 people died from a drug overdose in the United States, the highest number on record and a 21 percent increase from the previous year. This was largely due to a rise in deaths associated with pharmaceutical opioids, including fentanyl and fentanyl analogs. This group of opioids, excluding methadone, was implicated in 19,413 deaths in the country, more than double the number in 2015. Evidence suggests that Canada is also affected, with a large number of overdose deaths involving fentanyl and its analogs in 2016. \n\t\n\t\n\tIn Europe, overdose deaths rose for the third consecutive year to reach the highest number on record in 2015 (the latest year for which data are available), with 8,441 deaths. Opioid-related deaths were responsible for the overall increase, with the presence of opioids (mostly heroin) detected in 79 percent of overdose deaths in 2015. Increases in overdose deaths were reported in Germany, Lithuania, the Netherlands, Spain, Sweden, and the United Kingdom. The United Kingdom reported the highest number of overdose deaths in Europe, accounting for approximately one third (31 percent) of the total. In England and Wales, the number of drug misuse deaths for both men and women that were registered in 2016 was the highest since records began in 1993: 2,593 drug misuse deaths, mostly due to heroin and/or morphine.\n\t\n\t\n\tNon-fatal overdoses are substantially more common than fatal ones, with many drug users reporting that they have personally experienced a non-fatal overdose. Overdoses that are fatal make up only a very small proportion of all overdoses, an estimated 2–4 percent. Based on a global, systematic review of the literature, almost half (47 per cent; range: 17 to 68 per cent) of the drug users included in the studies reported that they had experienced a non-fatal overdose at least once in their lives, with almost one in six (17 percent; range: 4 to 38 percent) personally experiencing a non-fatal overdose in the past year.\n\t\n\n\nCredits\n\nRegistered research DOI: 10.5281/zenodo.3533251\n\nResearch by: Don Karl Juravin | Don Juravin tweets | Don Juravin videos | Don Juravin page | Don Karl Juravin Linkedin | Don Juravin education | Don Juravin Pinterest | Don Juravin images | Don Juravin blogs | Don Karl Juravin Reddit | Don Juravin scholar citation | JURAVIN RESEARCH | Don Juravin writer | Don Karl Juravin blog | Google+ | Ted Talks | Don Juravin docs | Don Juravin answers | Don Karl Juravin local | Juravin blogging | Juravin posts | Don Juravin Reviews |

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0440.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.261
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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