Examining Electronic Nicotine Delivery System (ENDS) Cue Reactivity Using a Remote Platform: Cigarette and ENDS Desire in Dual Users.

Introduction: Prior research shows that in-person exposure to electronic nicotine delivery systems (ENDS) use increases desire for cigarettes and ENDS. However, less is known about the impact of cues delivered during remote interactions. This study extends previous in-person cue work by leveraging a remote confederate-delivered cue-delivery paradigm to evaluate the impact of dual nicotine vaping (vs.

Implementation of a Telehealth Smoking Cessation Program in Primarily Socioeconomically Disadvantaged Black Patients: Courage to Quit Rolling-Virtual (CTQ-RV).

Background: Preliminary data indicate that smoking cessation offered in a rolling group format is feasible and effective.

Purpose: The current study evaluated the implementation and outcomes of the remote Courage to Quit-Rolling Virtual (CTQ-RV) smoking group treatment compared to its precursor in-person format (Courage to Quit-Rolling, CTQ-R).

Methods: Virtual materials for CTQ-RV were adapted from in-person evidence-based programming, thus content in both groups was similar but delivered via videoconference or in-person.

Integrating Alcohol Biosensors With Ecological Momentary Intervention (EMI) for Alcohol Use: a Synthesis of the Latest Literature and Directions for Future Research.

Purpose Of Review: Excessive alcohol use is a major public health concern. With increasing access to mobile technology, novel mHealth approaches for alcohol misuse, such as ecological momentary intervention (EMI), can be implemented widely to deliver treatment content in real time to diverse populations. This review summarizes the state of research in this area with an emphasis on the potential role of wearable alcohol biosensors in future EMI/just-in-time adaptive interventions (JITAI) for alcohol use.

Signal processing and machine learning with transdermal alcohol concentration to predict natural environment alcohol consumption.

Wrist-worn alcohol biosensors continuously and discreetly record transdermal alcohol concentration (TAC) and may allow alcohol researchers to monitor alcohol consumption in participants' natural environments. However, the field lacks established methods for signal processing and detecting alcohol events using these devices. We developed software that streamlines analysis of raw data (TAC, temperature, and motion) from a wrist-worn alcohol biosensor (BACtrack Skyn) through a signal processing and machine learning pipeline: biologically implausible skin surface temperature readings (< 28°C) were screened for potential device removal and TAC artifacts were corrected, features that describe TAC (e.

Assessing real-time positive subjective effects of alcohol using high-resolution ecological momentary assessment in risky versus light drinkers.

Background: High-resolution ecological momentary assessment (HR-EMA) can assess acute alcohol responses during naturalistic heavy drinking episodes. The goal of this study was to use HR-EMA to examine drinking behavior and subjective responses to alcohol in risky drinkers (moderate-severe alcohol use disorder [MS-AUD], heavy social drinkers [HD]) and light drinkers (LD). We expected that risky drinkers would endorse greater alcohol stimulation and reward, with lower sedation, than LD, even when controlling for amount of alcohol consumed.