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Record W2136133588 · doi:10.1210/en.2011-1643

Minireview: Endocannabinoids and Gonadal Hormones: Bidirectional Interactions in Physiology and Behavior

2011· review· en· W2136133588 on OpenAlexaff
Boris B. Gorzalka, Silvain S. Dang

Bibliographic record

VenueEndocrinology · 2011
Typereview
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsEndocannabinoid systemHormoneEndocrinologyInternal medicineBiologyNeuroscienceReceptorMedicine

Abstract

fetched live from OpenAlex

Endocannabinoids act as a major neuromodulatory system in a variety of physiological and behavioral functions. Three major lines of evidence suggest that the endocannabinoid system interacts with gonadal hormones. First, the endocannabinoid system is implicated in behaviors and physiological functions that are known to be regulated in part by gonadal hormones. Second, receptors and metabolic enzymes of the endocannabinoid system are localized extensively on structures in the hypothalamic-pituitary-gonadal axis. Third, changes in levels of gonadal hormones alter endocannabinoid signaling. Here we reviewed and summarized the current evidence regarding the interaction between the endocannabinoid system and androgens, estrogens, and progesterone. Overall, it appears that bidirectional interactions characterize the relationship between endocannabinoids and gonadal hormones, with endocannabinoids down-regulating hypothalamic-pituitary-gonadal activity and gonadal hormones modulating protein expression in the endocannabinoid system. An understanding of these interactions will have implications for elucidating the neuroendocrine mechanisms underlying a number of behavioral and physiological functions as well as potential pharmaceutical treatments for disorders of these functions.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.379
Teacher spread0.314 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations130
Published2011
Admission routes1
Has abstractyes

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