Evidence map›Paper›PMID 40860584›Full record

ArticleAddiction research & theory2025

Ambulatory assessment to advance the science of nondrug reward in addiction and recovery.

Samuel W Stull

Abstract read
In one paragraph

Article in Addiction research & theory, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Samuel W StullDepartment of Biobehavioral Health, The Pennsylvania State University.

Funding

The Role of Nondrug Reward in Recovery from Opioid Use Disorder: Intrapersonal and Socio-spatial Contexts in Daily LifeF31DA057837 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI STULL, SAMUEL · 2023 to 2023
$35k
NIDA NIH HHS F31 DA057837
6 · The paper itself

Abstract

Experiencing nondrug reward can promote the transition from addiction to recovery, as indicated by animal and human studies; further, several effective behavioral interventions to promote addiction recovery directly or indirectly target nondrug reward. However, investigations of nondrug reward have occurred primarily within laboratories or clinics, which may limit generalizations about how nondrug reward experiences unfold in daily life. Understanding how daily contexts shape opportunities and appraisals of nondrug rewards and how nondrug reward experiences link to acute recovery outcomes could inform existing or new nondrug reward interventions delivered via mobile devices (e.g., smartphone). Ambulatory assessment, an approach for collecting a variety of self-report and passive data in daily life, is becoming routinely used among many behavioral health scientists; yet its potential has not been realized in studying nondrug reward. This article surveys the ways in which ambulatory assessment can advance the science of nondrug reward in addiction and recovery. This includes defining characteristics (e.g., hedonic versus eudaimonic), elucidating within-person dynamic aspects (e.g., momentary experiences of nondrug reward events and changes with time in recovery), and providing insight into real-world experiences of nondrug reward in socio-spatial contexts (e.g., dynamic exposure to drug and nondrug reward opportunities). Each area is discussed, including a section that describes challenges and opportunities (e.g., measuring "pure" instances of nondrug reward given nicotine use and intermittent substance use). The conclusion focuses on other considerations of studying nondrug reward with ambulatory assessment and on early development of some mobile health interventions that address nondrug reward to support recovery.

Indexed as

addiction recoveryambulatory assessmentnondrug reward

Identifiers

PMID40860584
PMCPMC12375996

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.