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Record W4247030569 · doi:10.1093/jat/28.4.217

Oxycodone Involvement in Drug Abuse Deaths. II. Evidence for Toxic Multiple Drug-Drug Interactions

2004· article· en· W4247030569 on OpenAlexaff
E. J. Cone, R. V. Fant, J. M. Rohay, Y. H. Caplan, M. Ballina, R. F. Reder, J. David Haddox

Post-publication record

NatureRetraction
ReasonError in Text;Retract and Replace;
Date10/1/2014 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueJournal of Analytical Toxicology · 2004
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsDrugOxycodoneMedicineSubstance abusePharmacologyPsychiatryOpioidInternal medicine

Abstract

fetched live from OpenAlex

Recent surveys suggest that the abuse of drugs, often in combination, is pervasive throughout society. Adverse consequences of drug abuse tend to be attributed to the single drug "most likely" to be responsible. This is frequently seen in fatality cases, particularly those involving opioids. However, it is difficult to determine the specific cause of death when multiple drugs are involved. Although enhanced toxicity of alcohol and other centrally acting drugs with opioids has been well established in animal studies, there is a paucity of data in well-controlled human studies. We evaluated 1014 fatality cases involving oxycodone (OXC) for evidence of enhanced toxicity associated with multiple drug-drug interactions. We previously reported on these cases, and we classified them by a standardized method into groups that distinguished cases unrelated to drug abuse from those related to drug abuse, cases that involved only OXC from cases involving multiple drugs, drug-induced fatalities from drug-related fatalities, and cases in which the specific drug product OxyContin (oxycodone HCl controlled-release) tablets were identified from cases where OxyContin was not identified. Our working hypothesis was that OXC in combination with other centrally acting drugs is more toxic than OXC alone, evidenced by the finding of lower mean blood concentrations of OXC in multiple drug-induced deaths compared to single (OXC only) drug-induced deaths. Assessment of blood levels determined by specific assay methodology (primarily gas chromatography-mass spectrometry) in these cases provided the following mean postmortem concentrations of OXC: multiple drug-induced deaths, OxyContin identified, 0.93 mg/mL (N = 167); multiple drug-induced deaths, OxyContin not identified, 0.73 mg/mL (N = 579); single (OXC) drug-induced deaths, OxyContin identified, 1.55 mg/mL (N = 12); and single (OXC) drug-induced deaths, OxyContin not identified, 1.70 mg/mL (N = 15). Overall, mean OXC concentration trends were as follows: single (OXC), drug-induced, drug abuse deaths > multiple, drug-induced drug abuse deaths > drug-related drug abuse deaths approximately deaths unrelated to drug abuse; and deaths in which OxyContin was identified approximately deaths in which OxyContin was not identified, whether the deaths involved oxycodone alone or multiple drugs. Drug abuse patterns in the multiple drug-induced cases were complex. Over 135 drugs that were considered to be plausibly contributory to enhanced toxicity were identified in body fluids and tissues. Evaluation of mean OXC blood concentrations in cases that contained one, two, three, four, five, and six or more contributory drugs in combination demonstrated consistently lower mean OXC concentrations than those cases in which OXC was the only drug identified. A smaller number of cases were evaluated in the multiple drug-induced groups in which OXC was paired with a single other contributory drug. The overall mean OXC concentration for these cases was 0.71 mg/mL (N = 90) as compared to 1.64 mg/mL (N = 27) for the cases in the single drug-induced groups. The consistent finding of lower mean OXC blood levels associated with multiple drug-induced fatalities supports the stated hypothesis that OXC in combination with other centrally active drugs is more toxic than when OXC was the only drug involved. It was concluded that in cases of multiple drug fatalities, cause of death (COD) should not be attributed to any single drug. Rather, the unique combination of drugs, the pattern of drug use/abuse, and individual factors, such as tolerance to the respiratory depressant effects of opioids, must be taken into account in arriving at a valid COD statement.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.072
GPT teacher head0.374
Teacher spread0.303 · 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".

Quick stats

Citations44
Published2004
Admission routes1
Has abstractyes

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