Oxytocin in autism: Rethinking treatment and research through a neurodivergent perspective

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Phan, J. M., Dwyer, P., Elsherif, M. M., Friedel, E., & Kapp, S. K. (2024). Oxytocin in autism: Rethinking treatment and research through a neurodivergent perspective. Psychoneuroendocrinology, 171, 107220. https://doi.org/10.1016/j.psyneuen.2024.107220

Journal or book title
Psychoneuroendocrinology
Publisher
Elsevier BV
Volume
171
Pages
107220
Article number
107220
Publication date: 19 Oct 2024 Added to AutiHub: 5 Jul 2026 Type: Article Article language: English
Publisher source (DOI) Full text OpenAlex source

This publication is integrated into AutiHub through:

Authors

Publication authors
5
Publication authors identified as autistic
3 / 5 (60.0%)
  1. Jenny Mai Phan *
  2. Patrick Dwyer *
  3. Mahmoud M. Elsherif
  4. Emily Friedel
  5. Steven K. Kapp *

Abstract

This perspective piece addresses critical challenges in oxytocin-based interventions for autism, drawing on neurodivergent perspectives to highlight key issues in research relevance and inclusivity. Although oxytocin has been posited to modulate social and routinized behaviors in autistic individuals, empirical findings on its efficacy remain inconsistent. We argue that these behavioral targets may reflect neurotypical biases, often disregarding autistic individuals' perspectives, thereby limiting intervention acceptability and efficacy. Past research has frequently excluded marginalized autistic populations, including individuals with intellectual disabilities or gender-diverse identities, exacerbating generalizability issues. This piece advocates for a reorientation of research objectives in autism, proposing a shift from modifying core autistic behaviors towards enhancing quality of life through participatory research. By integrating autistic perspectives into study design and outcome selection, researchers move away from deficit-oriented frameworks and instead prioritize socially valid outcomes, such as reducing anxiety and improving adaptive functioning. Further, the perspective piece critiques the reliance on animal models, which often lack translational validity due to autism's complex social and communicative dimensions. In closing, we underscore the importance of inclusive, reproducible autism research practices that align with the lived experiences and priorities of autistic individuals. Embracing participatory research, alongside rigorous methodological adjustments, can foster advancements that effectively support the well-being of the autistic community.

Bibliography cited by this reference

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 3 Oct 2026 01:00.

Cited references
119
With a DOI
103
Without a DOI, from raw bibliography text
16
43 / 119 (36.1%) cited references include at least one author identified as autistic.
References with data to complete
7 / 119 (5.9%)
References with detected author names
112 / 119 (94.1%)
Without detected author names
7
Without a structured title
6
Without a stable identifier
13
References with raw author names still to review
6
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
777
From DOI or external metadata
777
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
7
365 / 777 (47.0%) names are linked to an author already present in AutiHub. 412 / 777 (53.0%) names are not yet linked.
Names linked to a person identified as autistic
114 / 777 (14.7%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 114 / 365 (31.2%). Distinct people identified as autistic: 70 / 668 (10.5%).
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