Oxytocin Isn't Just the 'Love Hormone' — It Also Drives Psychological Self-Defense

This is a theoretical review and framework paper that synthesizes existing research from multiple disciplines — including social neuroscience, evolutionary psychology, and behavioral endocrinology — to propose a unifying model of oxytocin's role in psychological self-defense. It draws on converging findings from intrapersonal, social comparison, and social evaluation contexts.

The popular narrative of oxytocin as purely a 'bonding' or 'trust' molecule has led to oversimplified therapeutic proposals (e.g., intranasal oxytocin for autism or social anxiety). This more nuanced framework explains why oxytocin interventions sometimes backfire — boosting self-protective aggression or mistrust instead of social warmth. Understanding oxytocin's true function is essential for developing peptide-based therapies that work with, rather than against, its context-dependent nature.

Oxytocin is one of the most studied neuropeptides, with a therapeutic development pipeline spanning autism, social anxiety, PTSD, and addiction. However, clinical trials have yielded inconsistent results, partly because the 'prosocial' framing oversimplifies how the peptide works. This self-protection framework represents a paradigm shift that could redirect both basic research and clinical development. It's particularly relevant as intranasal oxytocin remains widely studied and used off-label, and as researchers explore oxytocin receptor agonists as potential next-generation therapeutics.

As a theoretical review, this paper does not present new experimental data. The self-protection framework, while integrative, is primarily based on synthesizing existing studies that were not originally designed to test this specific hypothesis. Many of the cited studies used intranasal oxytocin administration, whose brain penetration and dose-response relationships remain debated. The claim that self-protection is 'distinctly human' due to reliance on self-reflection may be difficult to test rigorously. The framework's predictive power — does it generate falsifiable hypotheses better than competing models? — remains to be demonstrated empirically.