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Record W2036809519 · doi:10.2174/1381612023396681

Basic Pharmacologic Mechanisms Involved in Benzodiazepine Tolerance and Withdrawal

2002· review· en· W2036809519 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Pharmaceutical Design · 2002
Typereview
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBenzodiazepineGABAA receptorAnxiolyticAnticonvulsantDrug toleranceReceptorPharmacologyDiazepamSedativeAnti-Anxiety AgentsAnxietyMedicineNeurosciencePsychologyInternal medicinePsychiatryEpilepsy

Abstract

fetched live from OpenAlex

Benzodiazepines are widely prescribed for the treatment of anxiety and sleep disorders. Although safe, tolerance develops rapidly to their sedative activity and more slowly to their anticonvulsant activity. In animals anxiolytic tolerance has also been measured. Abrupt cessation of benzodiazepine treatment leads to symptoms of withdrawal. The mechanisms responsible for these phenomena are not known. Benzodiazepines act via GABA(A) receptors, but do not appear to produce tolerance and dependence by simple downregulation of receptor number. GABA(A) receptors are hetero-oligomers comprised of multiple subunits encoded by a multigene family. The molecular effects of long-term benzodiazepine exposure are reviewed and a model is presented that draws on results from a number of research groups working in this area.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.371
GPT teacher head0.463
Teacher spread0.092 · 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