TRV-2026-0064Retracted — remains on the recordPeer-reviewed

The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality

As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention. These digital health technologies offer the potential of accessible and scalable interventions that can augment traditional care. In this paper, we provide a comprehensive update on the overall field of digital psychiatry, covering three areas. First, we outline the relevance of recent technological ad…

Health · Good Space — documented gain · certified 2026-07-12 · v7 · article view · machine-readable

This record was retracted on 2026-07-13 — Model backfill: source did not support a publishable AI-impact claim. It remains permanently retrievable here, as does every prior version below.

Current reading — gain

The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality: As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention.

Evidence

Peer-reviewedWorld Psychiatry2021-09-09
Peer-reviewedJournal of Medical Internet Research2025-04-21
Peer-reviewedInternational Journal of Eating Disorders2022-08-18
Peer-reviewedJournal of Medical Internet Research2024-12-12
Peer-reviewedJournal of Medical Internet Research2022-05-11

Cite this record

Truvace Impact Record TRV-2026-0064, v7: “The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality.” Truvace, 2026-07-13. /record/TRV-2026-0064 (accessed at citation time). sha256 cc682fd47a92599b…

Calibration history

Every change to this record since certification, in the open.

Retracted2026-07-13v7cc682fd47a92…
Model backfill: source did not support a publishable AI-impact claim
Revised2026-07-12v606644ae7c308…
Reading revised
Sources changed2026-07-12v5be72bdc707a1…
Source set updated
Sources changed2026-07-12v4c38fbc74f111…
Source set updated
Sources changed2026-07-12v36e2ec1852148…
Source set updated
Sources changed2026-07-12v21550cb19f17a…
Source set updated
Certified2026-07-12v10d36f2df83a1…
Certified into the record

Verify this record

How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0064 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.