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Open-Label Placebo: Reflections on a Research Agenda

Authors: Ted J, Kaptchuk;

Open-Label Placebo: Reflections on a Research Agenda

Abstract

Open-label placebos (OLP)-placebo pills honestly prescribed-have challenged the notion that placebos require either deception or concealment to evoke salubrious benefits. This essay describes how the author arrived at the counter-intuitive OLP hypothesis, discusses evidence for OLP effectiveness, and examines mechanistic explanations for OLP. Current dominant theories such as expectation and conditioning are found to be insufficient or inaccurate. The author proposes that emerging concepts of prediction and error processing (PEP), Bayesian brain, and embodied cognition are more appropriate models for understanding OLP. As a neural processing model, PEP argues that sensory predictions are embedded in and inseparable from perceptions; PEP circumvents mind-body dualism. The author discusses how OLP, mostly non-consciously, might perturb aberrant symptom amplifications and central sensitization resulting in perceptions of improvement in symptoms. Placebo effects are neurologically encoded predictions, less what patients think and more what they enact and perform.

Keywords

Models, Neurological, Bayes Theorem, Models, Psychological, Models, Theoretical, Placebo Effect, Placebos, Cognition, Double-Blind Method, Humans, Bioethical Issues, Randomized Controlled Trials as Topic

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
130
Top 1%
Top 10%
Top 1%
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