Recent breakthroughs in biomedical research have not improved the ability to identify successful pharmacological treatments derived from novel candidate compounds. This is partly due to the inability of the existing scientific approach to translate candidate anxiolytics identified through the drug discovery process into efficient psychopharmacological treatment of patients. A new drug development approach urgently needs to be implemented to improve predictability and efficiency in translating the basic science explosion into validated drug targets. A key approach to improve the selection of candidate anxiolytics for clinical trials is to fill the gap between animal models and clinical studies in patients by implementing tests in healthy humans with a predictive validity of subsequent clinical efficacy. As a step towards this goal, we developed integrative experimental models of fear and anxiety in non-clinical subjects. We now use these models to identify the anxiolytic and anxiogenic properties of various compounds. The current specific objectives are to 1) further test the psychopharmacological validity of the model using recognized anxiolytics (the SSRI citalopram), 2) test the properties of compounds that are hypothesized to be anxiolytic or anxiogenic (e.g., oxytocin, arginine vasopressin, hydrocortisone) and 3) examine the time course of the anxiolytic effect of the benzodiazepine alprazolam on FPS.