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C Khalifian

Veterans Affairs San Diego Healthcare System, San Diego, CA, United States.

2 papers in the library · 12 citations · publishing 2024

Papers

A novel framework for ketamine-assisted couple therapy.

Frontiers in psychiatry January 1, 2024 C Khalifian, K Rashkovsky, E Mitchell et al. 8 citations

Intimate relationship distress is common and linked to worse health and mortality. Evidence-based couple therapies target cognitive, behavioral, and emotional processes. Ketamine-assisted psychotherapy (KAP) shows efficacy for depression, anxiety, and PTSD, and its mechanisms—such as increased neuroplasticity, changes in functional connectivity, adaptive dissociation, decreased inhibition, and reduced avoidance—may also enhance couple therapy interventions. The paper reviews evidence for KAP and outlines how these mechanisms could augment existing couple therapies. It proposes a framework for ketamine-assisted couple therapy, addressing preparation, dosing, and integration into a dyadic context. This framework may help clinicians improve couple therapy outcomes, especially when one or both partners have mental health concerns.

MDMA-assisted brief cognitive behavioral conjoint therapy for PTSD: Study protocol for a pilot study.

Contemporary clinical trials communications August 1, 2024 L A Morland, D Perivoliotis, T R Wachsman et al. 4 citations

PTSD harms both individuals and their intimate relationships, and veteran couples face extra strain from deployment and reintegration. Cognitive-Behavioral Conjoint Therapy (CBCT) and its brief version (bCBCT) consistently reduce PTSD symptoms but have variable effects on relationship functioning. This open-label pilot study tests whether adding MDMA-assisted therapy to bCBCT improves both PTSD and relationship outcomes. Eight veterans with PTSD and their partners (16 people total) will receive bCBCT plus two MDMA sessions and two couple emotion-focused integration sessions. This is the first trial of MDMA-assisted bCBCT in U.S. military veterans and partners, aiming to develop a scalable treatment model for the VA healthcare system.