Monday, October 23, 2023

Systematic Review of the Neurocognitive Effects of Cannabis Use in Older Adults

Aging
Sexton et al. (2019) [23] N=2,905 users;
Older users (n=507): (50–80), 52.3%
Cross-sectional survey Recreational and medical
Herbal cannabis (mixed THC and CBD), 91.3% inhaled
Yes/no survey of “undesirable” acute cognitive effects ↑ Older users reported fewer cognitive difficulties than younger users (p<0.001). However, this may be explained by medical use of cannabis, which was more common in older adults and associated with fewer subjective cognitive difficulties.
Kolla et al. (2016) [24] N=5,080: 54.4 ± 16.5 (18–97); 53.4% Cross-sectional survey (population-based sample) Likely recreational (N/R)
Herbal cannabis
Adult ADHD Self-Report Version 1.1 Screener ↓ effects for hyperactivity (OR=1.083) and impulsivity (OR=1.076) in men, and inattention (OR=1.129) in women
Auer et al. (2016) [25] N=3,499 at Year 25:
Nonusers (n=533): 49.7 ± 3.9, 39.4%
Ever users (n=2,852): 50.2 ± 3.6, 37.5%
Current users (n=392)
Longitudinal cohort
Cognitive testing completed once at Year 25.
N/R (likely recreational)
Herbal cannabis (marijuana)
1. Rey AVLT
2. DSST
3. Stroop-Interference (n=3,364 in cognitive analyses)
1. ↓ verbal memory with current use and cumulative lifetime use. Every 5 years of use associated with 0.13 SD decrease in score
2. ↓ processing speed with current use, but not with cumulative use
3. ≈ executive functioning with current use or cumulative use
McKetin et al. (2016) [26] N=1,897 at baseline:
Nonusers (n=4,986): 42.6 ± 1.5, 43%
< weekly users (n=225): 42.3 ± 1.5, 58%
weekly users (n=106): 42.7 ± 1.4, 70%
Longitudinal cohort
4 and 8-year follow-up (n=1,653 at Year 8; mean age = 50)
N/R (likely recreational)
Herbal cannabis (marijuana/hash)
1. CVLT
2. SDMT
3. Digit Backwards
4. Simple and choice reaction time tasks
1. ↓ immediate memory for ≥ weekly users (−0.55 SD)
2. ≈ processing speed
3. ≈ working memory
4. ≈ reaction time
No within-subject effects. Cannabis use was not associated with accelerated cognitive decline.
Burggren et al. (2018) [27] N=50:
Former heavy users (n=24): 65.4 ± 7.2, 67.0%
Nonusers (n=26): 67.7 ± 7.1, 54.0%
Cross-sectional Recreational
Herbal cannabis (marijuana)
1. WTAR
2. MMSE
3. SRT, WMS-II Logical Memory, Verbal Paired Associates, RCFT
4. TMT-A, Stroop-Word Reading, DSST
5. TMT-B, FAS, Animals, Stroop-Interference
1. ↓ premorbid IQ
2. ≈ global cognition
3. ≈ immediate and delayed memory (d’s = −0.29 and −0.30)
4. ≈ processing speed (d =−0.36)
5. ≈ executive function (d =−0.07)
Former heavy users < controls on all cognitive domains, but p’s > .05.
Thayer et al. (2019) [28] N=54;
Users (n=28): 66.8 ± 5.3, 64%
Nonusers (n=28): 69.8 ± 5.7, 39%
Cross-sectional Recreational
Herbal cannabis (smoked and edibles)
NIH Toolbox Cognition Battery (n=38; 28 users and 10 non-users) ≈ global cognition. Users performed >0.5 SD below nonusers on working memory subtest, but this was non-significant after FDR correction (p=.05).
Ahmed et al. (2014) [29] N=11; 72.1 ± 5.0, 55.0% RCT (crossover; placebo-controlled)
8 weeks
Medical
Oral THC (Namisol) 3.0mg, 5.0mg, and 6.5mg
Test for Attentional Performance – Alertness subtest ≈ attention (p=.18); Effect size and raw data N/R
Dementia
Ahmad et al. (2014) [30] N=18;
AD (n=11): 71.8 ± 6.8, 27.3%
Healthy (n=7): 68.0 ± 6.5, 42.9%
Cross-sectional Endocannabinoids
CB1 receptor availability via [18F]MK-9470 PET brain imaging
1. MMSE
2. AVLT
1. ≈ global cognition not associated with CB1 receptor availability
2. ≈ immediate and delayed memory not significantly associated with CB1 receptor availability (r2’s=.46 and .32, p’s>.05)
Altamura et al. (2015) [31] N=48;
AD (n=37): 77.3 ± 6.4, 37.0%
Healthy (n=11): 75.0 ± 3.6, 40.6%
Cross-sectional Endocannabinoids
AEA, 2-AG, PEA, and OEA in plasma
1. Rey AVLT
2. Corsi’s test
3. Figure copy
4. Raven’s Progressive Matrices
5. Semantic fluency (n=37 AD)
1. ↑ correlation between immediate memory and higher 2-AG (r=.334, p=.05)
2. ↑ correlation between attention and 2-AG (r=.423, p=.018)
3. ↓ correlation between constructional praxis and PEA (r=−.389, p=.019)
4. N/R
5. N/R
Other results (e.g., AEA and OEA) were N/R.
Shelef et al. (2016) [32] N=10 with AD: 73.2 ± 8.6, 60.0% Single-group cohort; Open-label trial Medical
Cannabis oil (THC extract 1.65% potency) 2.5mg 2x/day titrated
MMSE ≈ global cognition; MMSE scores were stable from baseline (M=10.3) to Week 4 (M= 11.0) of treatment
van den Elsen et al. (2015) [33] N=12 with AD, vascular, or mixed (selected from n=22 in RCT): 76.4 ± 5.3, 68%. Single-group cohort; Open-label extension Medical
Oral THC (Namisol) mean 3.0mg/day; titrated
1. MMSE (n=5 due to attrition [58.3%])
2. Delirium Observation Scale
1. ≈ global cognition over the 6-month duration of the extension study (p=.96); no comparison to baseline.
2. N/R
Herrmann et al. (2019) [34] N=38 with AD: 87 ± 10, 77% RCT (crossover; placebo-controlled) 14 weeks Medical
Synthetic oral THC (Nabilone) 1–2mg/day
1. Standardized MMSE
2. SIB (n=25 with MMSE≤15)
1. ↑ global cognition (b=1.1, 95% CI [0.1, 2.0], p=.026)
2. ↓ global cognition in the subgroup with severe dementia (b=−4.6, 95% CI [−7.3, −1.8], p=.003)
van den Elsen et al. (2015) [35] N=50 with AD, vascular, or mixed;
THC (n=24): 79 ± 8; 45.8%
Placebo (n=26): 78 ± 7, 53.8%
RCT (parallel groups; placebo-controlled)
3 weeks
Medical
Oral THC (Namisol) 1.5mg 3x/day
1. WMS-R Paired Associate Learning (n=18) 1. ≈ episodic memory; THC and placebo groups showed similar decline from baseline (p=1.0).
Parkinson’s Disease (PD)
Balash et al. (2017) [36] N=47: 64.2 ± 10.8, 85.1%
100% users
Single-group retrospective survey Medical
Herbal cannabis (mixed THC and CBD; 81% smoked) mean 0.9g/day
1. mCGI – Memory (n=40)
2. mCGI – Attention (n=42)
1. ≈ self-reported memory (r2 = 0.04, p>0.05)
2. ↑ self-reported attention (r2 = 0.11, p=.01)
Kindred et al. (2017) [37] N=454i;
Users (n=36.6%): 60 ± 9.2, 60.6%
Nonusers (n=66.3%): 61.7 ± 9.5, 56.3%
Cross-sectional survey Medical and recreational
Herbal cannabis (smoked and edibles)
Guy’s Neurological Disability Scale ↑ self-reported memory; Current users reported fewer problems with memory (F=4.717, p=.030).
Chagas et al. (2014) [38] N=21;
CBD 75 (n=7): 65.9 ± 10.6, 71%
CBD 300 (n=7): 63.4 ± 6.5; 71%
Placebo (n=7): 67.3 ± 7.2, 71%
RCTii (parallel groups; placebo-controlled)
6 weeks
Medical
CBD capsules 75mg or 300mg/day
PDQ-39 – Cognition scale ≈ self-reported cognitive functioning; No differences between placebo, 75mg, and 300mg (p=.332)
Multiple Sclerosis (MS)
Kindred et al. (2018) [39] N=16;
Users (n=8): 49.6 ± 15.0, 25%
Nonusers (n=8): 50.8 ± 13.2, 25%
Cross-sectional Medical
Herbal cannabis (mixed THC and CBD; smoked and edibles)
PASAT, as part of the MSFC ↓ working memory (p=.02) after an 8-hour abstinence period
PASAT scores did not correlate with regional standardized uptake values from [18F]-FDG-PET.
Castelli et al. (2019) [40] N=22;
Continuers (n=11): 49.4 ± 7.4, 45.5%
Quitters (n=11iii): 50.1 ± 9.3, 36.4%
Longitudinal cohort
0, 1, 3, and 12-month follow-ups
Medical
THC/CBD oral spray (nabiximols) median 6 puffs
Stroop Color-Word Test under single and dual-task conditions ↓ executive functioning in the dual-task condition (time × group η2=0.14) but ≈ in single-task condition (η2=0.06)
Ball et al. (2015) [41] N=493;
THC (n=329): 52.3 ± 7.6, 40.4%
Placebo (n=164): 51.8 ± 8.2, 41.5%
RCT (parallel groups; placebo-controlled)
3 years
Medical
Synthetic oral THC (dronabinol) median 4 capsules/day, titrated
PASAT, as part of the MSFC ≈ working memory; mean annual change equivalent between groups (z-score diff. = −0.01, 95% CI [−0.01, 0.09], p=.92)
Human Immunodeficiency Virus (HIV)
Schouten et al. (2016) [42] N=103: median 54.0 [49–62], 93%
16% used daily to monthly
Cross-sectional Likely recreational (N/R)
Herbal cannabis (marijuana)
Neuropsychological test battery of fluency, attention, processing speed, memory, motor, and executive functions ↓ global cognition; Daily to monthly cannabis use was associated with increased risk of cognitive impairment (OR=27.76 [4.61, 167.18], p<0.001).
De Francesco et al. (2019) [43] N=1253;
Older HIV+ (n=637): 56 [53–62], 88.5%; 14.3% users
Younger HIV+ (n=340): 43 [37–47], 80.9%
HIV− (n=276): 58 [53–63], 65.2%
Cross-sectional Recreational
Herbal cannabis (marijuana and hashish)
CogState computerized test battery ↓ global cognition associated with use of hashish after adjusting for confounding variables (median z-score difference between users and non-users = −0.29, 95% CI [−0.49, −0.09], p=.005)
≈ association with marijuana (median z-score difference = 0.04, 95% CI [0.06, 0.14], p=.43)
Saloner et al. (2019) [44] N=734: 55.1 ± 4.0, 84.2%;
31.6% with lifetime cannabis use disorder
Cross-sectional Likely recreational (N/R)
Herbal cannabis (marijuana)
Neuropsychological test battery using Super Ager criteria based on global performance that is comparable to 25-year-olds ↑ global cognition; Lifetime cannabis use disorder (in addition to younger age, higher verbal IQ, absence of diabetes, and fewer depression symptoms) increased the likelihood of being classified as a Super Ager vs. Cognitively Impaired (OR=0.46, 95% CI [0.28, 0.75], p=.002).
Okafor et al. (2019) [45] N=788 HIV+ men;
Users (n=290): 41.6 ± 10.0, 100%
Nonusers (n=498): 44.6 ± 9.7, 100%
Longitudinal cohort
Up to 17 years
Likely recreational (N/R)
Herbal cannabis (marijuana)
1. TMT-A and SDMT
2. TMT-B
1. ↓ processing speed; current daily use associated with 0.41%–0.70% annual decline (f2<0.002); Non-significant effect of cumulative use
2. ≈ cognitive flexibility for current and cumulative use
Pain
Zaki et al. (2017) [46] N=164 with cancer: 54.9 (70.7% age 50+), 56.1% Single-group survey with 4-month follow-upiv Medical
N/R (supplied by a single provider)
Adaptive survey designed by the cannabis supplier (n=24 who perceived concentration as relevant) ≈ self-reported concentration
Bar-Sela et al. (2019) [47] N=34 with advanced cancer;
Users (n=17): 63 (35–85), 31%
Nonusers (n=17): 63 (40–85), 59%
Longitudinal cohort
3-month follow-up
Medical
Herbal cannabis (mixed products; smoked, inhaled, or oil)
1. MoCA
2. DSST
1. ≈ global cognition; 35% cases vs. 18% controls had clinically significant decline (i.e., ≥0.5 SD)
2. ≈ processing speed
Wallace et al. (2015) [48] N=16 with diabetic neuropathy: 56.9 ± 8.2, 56.0% RCT (crossover; placebo-controlled)
8 weeks
Medical
Vaporized THC: low (1%), medium (4%), or high (7%) doses
1. PASAT
2. TMT-B
3. TMT-A
1. ↓ working memory at medium (d=−1.03) and high doses (d=−1.14)
2. ↓ executive functioning at high dose only (d=−1.15)
3. ≈ processing speed


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