Psychoactive Triggers as a Stimulus Battery for Measuring Large Language Models (LLMs): A Bridge Between Psychometrics, Clinical Psychology, and LLM Engineering

This paper presents psychoactive triggers as a stimulus battery for measuring large language models (LLMs), bridging psychometrics, clinical psychology, and LLM engineering. The study introduces a novel framework for evaluating LLM behavioral consistency, emotional responsiveness, and safety boundaries using structured psychological inputs derived from clinical practice. Results demonstrate measurable behavioral drift across models when exposed to cognitively loaded prompts, with implications for AI safety and evaluation methodology.