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Record W2028328484 · doi:10.1517/17460441.2014.962995

The preclinical discovery of lofexidine for the treatment of opiate addiction

2014· article· en· W2028328484 on OpenAlexaboutno aff
Ashish P. Vartak

Bibliographic record

VenueExpert Opinion on Drug Discovery · 2014
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOpiateClinical trialAddictionClonidineExpert opinionDetoxification (alternative medicine)Intensive care medicinePharmacologyPsychiatryAlternative medicineAnesthesia

Abstract

fetched live from OpenAlex

INTRODUCTION: Lofexidine is one therapeutic option used for treating the onslaught of sympathetic outflow that typically commences upon induction of opiate withdrawal. It was approved for opiate detoxification in the UK, most of EU, and a select few countries worldwide during the 1980s and the 90s. Within the US and Canada, however, it remains an experimental drug. AREAS COVERED: The following article highlights lacunae in extant knowledge about the molecular pharmacology of lofexidine. Furthermore, the article provides a brief discussion on the nature and shortcomings of clinical trials for this drug that have been conducted over the past 30 years across the world. It also provides a discussion of the market factors and regulatory considerations responsible for the rather limited use of lofexidine thus far. EXPERT OPINION: Many lessons can be learned from the 40-year-long development of lofexidine. Indeed, unless there is an urgent need to address an unmet and/or immediate health threat, preclinical development is dictated by pharmacoeconomic considerations. Lofexidine would likely have been excluded for further development in this day and age given the existence and value of clonidine as well as the lack of insurance coverage for opiate addiction. It should be noted, however, that although there have been many oversights in the past, current experimentation and clinical trials are beginning to address the mistakes made through the exploration of single enantiomers and controlled-release preparations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.351
Teacher spread0.308 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2014
Admission routes1
Has abstractyes

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