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Is Extinction in Animals The Same as Abstinence in Humans?

2002· letter· en· W2022166001 on OpenAlexaboutno aff
John R. Hughes

Bibliographic record

VenueAddiction · 2002
Typeletter
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsPunishment (psychology)AbstinenceExtinction (optical mineralogy)PsychologyLeverReinforcementDrugDevelopmental psychologySelf-administrationDrug administrationClassical conditioningContext (archaeology)Stimulus (psychology)Social psychologyConditioningCognitive psychologyPsychiatryMedicinePharmacology

Abstract

fetched live from OpenAlex

Sir—Conklin & Tiffany (2002) describe elegantly how behavioral results from studies of non-humans can be useful in developing new cue-exposure treatments. At several points in their article they equate implicitly or explicitly extinction in studies of non-humans with abstinence in drug abusers trying to stop. I believe the two are not equivalent (Hughes & Bickel 1997). The extinction procedure in non-humans involves typically either removing a lever used for drug self-administration or making lever presses no longer produce drug injections. Neither mimics the situation of a typical drug abuser trying to stop. Rather, the former is analogous to being in an in-patient ward and the latter to paying for and receiving placebos. Most drug abusers initiate abstinence either because a real or implied punishment will occur with drug use or because strong non-drug reinforcers are made contingent on not using drug. To mimic the former, non-human researchers could either suppress drug self-administration by intermittent punishment or by a stimulus paired with punishment. To mimic the latter, they could make food or other strong reinforcers contingent on progressively longer periods of no drug self-administration. Conklin and Tiffany argue that context determines the function of conditioning stimuli. If so, then how a conditioned stimuli functions is likely to be different with removal of a lever or with non-productive lever-pressing than with suppressed responding due to punishment or non-drug reinforcers. I believe results from non-human studies using the latter two paradigms may better generalize to the human condition. Since 1 January 2001, I have received honoraria, consulting fees or research grants from the following organizations that market tobacco cessation/prevention product/services/information or conduct tobacco-related litigation: Alden Corporation, Astra Pharmaceuticlas, American Council on Science and Health, American Society of Addiction Medicine, Canadian Society of Addiction Medicine, Edelman Public Relations, Glaxo-SmithKline Beecham Consumer Healthcare, Glaxo-Wellcome Pharmaceuticals, Healthwise, Krug Associates, National Cancer Institute, National Institute on Drug Abuse, New England College Health Association, Palladin Associates, Pharmacia, Shook Hardy and Bacon, Society for Research on Nicotine and Tobacco, University Medical and Dental School of New Jersey, Walker Law Firm, Yale Medical School.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.103
GPT teacher head0.306
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2002
Admission routes1
Has abstractyes

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