Samuel F. Acuff, PhD

@samuelacuff.bsky.social

This was a very compelling episode with the great Dr. Alexis Kuerbis about substance use and SUD among older adults. This incredibly important topic will only grow in significance in the coming decades. Please have a listen! @addpsychpodcast.bsky.social

Noah Emery, PhD@noahemery.bsky.social · 2y ago

Looking for a reason to stop doom scrolling? Check out the newest episode of the Addiction Psychologist Podcast (@addpsychpodcast.bsky.social) with Dr. Alexis Kuerbis on substance use and aging. There are a bunch of nuances when working with this population. creators.spotify.com/pod/show/add...

Thanks for sharing, @jamesnicholls.bsky.social! Enjoyed reading your thoughtful perspective, which was very stimulating. Our commentary on that perspective is below. For anyone interested, have a read of both, in addition to the other commentaries!

James Nicholls@jamesnicholls.bsky.social · 2y ago

... and also this from @samuelacuff.bsky.social and Justin Strickland (not on this site, I think?). Another thoughtful and constructive commentary. Thanks! onlinelibrary.wiley.com/doi/10.1111/... Our response to the commentaries is in the pipeline.

Prevalence of Cannabis Use Disorder: A Meta-Analysis of Population Surveys (new in @jsadjournal.bsky.social 86/1) @cassie-boness.bsky.social @samuelacuff.bsky.social @massgeneralbrigham.bsky.social @harvardmed.bsky.social @kennethsherr.bsky.social www.jsad.com/doi/full/10....

Prevalence of Cannabis Use Disorder: A Meta-Analysis of Population Surveys: Journal of Studies on Alcohol and Drugs: Vol 86, No 1

Objective: Epidemiologic surveys aim to estimate the population prevalence of cannabis use and cannabis use disorder. Prevalence estimates are important for understanding trends, such as the impact of policy change. Existing epidemiologic surveys have produced discrepant and potentially unreliable estimates. The current meta-analysis (PROSPERO CRD42022364818) aims to identify potential sources of unreliability in prevalence estimates of cannabis use and use disorder among the general population (age 12 and older). There was no specific hypothesis about overall prevalence estimate, but we expected significant variability (i.e., heterogeneity) in estimates based on factors such as country, year of data collection, and specific methodological factors (e.g., diagnostic instrument). Method: Systematic searches identified manuscripts and reports documenting nationally representative lifetime or past-year cannabis use disorder prevalence estimates. Meta-analysis was used to synthesize prevalence estimates, evaluate heterogeneity, and test moderators. Results: There were 39 manuscripts/reports included in analyses, which resulted in 259 unique prevalence estimates spanning 1980–2013 and an aggregated sample size of 973,281 individuals. Past-year and lifetime prevalence estimates for cannabis use were 12.83% (95% CI [11.15%, 14.71%]) and 38.31% (95% CI [35.92%, 40.76%]), and those for cannabis use disorder were 2.59% (95% CI [2.30%, 2.90%]) and 6.77% (95% CI [4.89%, 9.30%]), respectively. There was significant heterogeneity in estimates, which was partially explained by factors such as country, year of data collection, and methodological characteristics. Conclusions: The significant heterogeneity in prevalence estimates as a function of methodological characteristics raises concerns about the generalizability of estimates. Recommendations for enhancing the validity and reliability of these estimates are offered.

jsad.com

It was wonderful talking with Lindsay about this topic. Lindsay is a wonderful human being, and she does incredible science as well!

The Addiction Psychologist@addpsychpodcast.bsky.social · 2y ago

🚨 NEW EPISODE OUT 🚨 In this week's episode @addpsychpodcast.bsky.social, Dr. Lindsay Squeglia, of the Medical University of South Carolina, talks about the effects of alcohol on brain development and how that relates to substance use disorders! Listen here: open.spotify.com/episode/3cqp...