Literature Collection
11K+
References
9K+
Articles
1500+
Grey Literature
4600+
Opioids & SU
The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
Use the Search feature below to find references for your terms across the entire Literature Collection, or limit your searches by Authors, Keywords, or Titles and by Year, Type, or Topic. View your search results as displayed, or use the options to: Show more references per page; Sort references by Title or Date; and Refine your search criteria. Expand an individual reference to View Details. Full-text access to the literature may be available through a link to PubMed, a DOI, or a URL. References may also be exported for use in bibliographic software (e.g., EndNote, RefWorks, Zotero).



Interventions that integrate care for mental illness or substance use disorders into general medical care settings have been shown to improve patient outcomes in clinical trials, but efficacious models are complex and difficult to scale up in real-world practice settings. Existing payment policies have proven inadequate to facilitate adoption of effective integrated care models. This article provides an overview of evidence-based models of integrated care, discusses the key elements of such models, considers how existing policies have fallen short, and outlines future policy strategies. Priorities include payment policies that adequately support structural elements of integrated care and incentivize multidisciplinary team formation and accountability for patient outcomes, as well as policies to expand the specialty mental health and addiction treatment workforce and address the social determinants of health that disproportionately influence health and well-being among people with mental illness or substance use disorders.

This review explores the bidirectional relationship between mental health disorders and cardiovascular disease (CVD), highlighting the potential of integrated healthcare models to improve outcomes. While CVD remains the leading cause of global mortality, traditionally linked to risk factors like hypertension and diabetes, emerging evidence shows that mental health conditions, especially depression and anxiety, significantly increase CVD risk through mechanisms such as chronic stress, inflammation, and neuroendocrine dysregulation. Activation of the hypothalamic-pituitary-adrenal axis and sympathetic nervous system exacerbates inflammation, elevates blood pressure, and contributes to cardiovascular risk factors. Moreover, the psychological burden of CVD often worsens mental health, creating a vicious cycle that complicates treatment adherence and patient management. Integrated care models offer a holistic approach to address these interconnected issues, potentially improving clinical outcomes, reducing healthcare costs, and enhancing patient adherence. This review also explores the role of telehealth and digital health interventions in overcoming accessibility barriers, particularly for underserved populations. Finally, policy recommendations emphasize the need for increased funding, professional training in interdisciplinary care, and targeted outreach to ensure equitable access to integrated care. By addressing both CVD and mental health challenges, these models could improve quality of life and reduce the global burden of these intertwined diseases.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.


This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.


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