Healthy VolunteersMicrodosingLSDLSD

LSD increases sleep duration the night after microdosing

In a Phase 1 randomized, double‑blind, placebo‑controlled trial of 80 healthy male volunteers, microdosing LSD (10 µg every third day for six weeks) increased objectively measured sleep duration by 24.3 minutes on the night after dosing compared with placebo, with no changes in sleep‑stage proportions or physical activity. The effect, observed across 3,231 nights, is clinically meaningful and unlikely to be explained by placebo.

Authors

  • Suresh Muthukumaraswamy

Published

Translational Psychiatry
individual Study

Abstract

Abstract Microdosing psychedelic drugs at a level below the threshold to induce hallucinations is an increasingly common lifestyle practice. However, the effects of microdosing on sleep have not been previously reported. Here, we report results from a Phase 1 randomized controlled trial in which 80 healthy adult male volunteers received a 6-week course of either LSD (10 µg) or placebo with doses self-administered every third day. Participants used a commercially available sleep/activity tracker for the duration of the trial. Data from 3231 nights of sleep showed that on the night after microdosing, participants in the LSD group slept an extra 24.3 min per night (95% Confidence Interval 10.3–38.3 min) compared to placebo—with no reductions of sleep observed on the dosing day itself. There were no changes in the proportion of time spent in various sleep stages or in participant physical activity. These results show a clear modification of the physiological sleep requirements in healthy male volunteers who microdose LSD. The clear, clinically significant changes in objective measurements of sleep observed are difficult to explain as a placebo effect. Trial registration: Australian New Zealand Clinical Trials Registry: A randomized, double-blind, placebo-controlled trial of repeated microdoses of lysergic acid diethylamide (LSD) in healthy volunteers; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=381476 ; ACTRN12621000436875.

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Research Summary of 'LSD increases sleep duration the night after microdosing'

Introduction

Microdosing—the repeated self-administration of sub-hallucinogenic doses of psychedelics such as LSD or psilocybin—has become a popular practice with claimed benefits for mood, creativity and productivity. Previous controlled work on macrodoses of serotonergic psychedelics has shown effects on sleep architecture (for example altered REM sleep and slow-wave power), and some older or uncontrolled reports have suggested that low doses of LSD can modify REM and increase body movements during sleep. However, objective, prospectively collected measurements of sleep in contemporary microdosing regimens are lacking, and community surveys give mixed subjective reports about sleep quality following microdosing. Allen and colleagues therefore set out to evaluate whether microdosing LSD alters objective sleep and activity measures. They embedded sleep monitoring into a Phase I, double-blind, randomised, placebo-controlled trial in which healthy volunteers self-administered 10 µg LSD or placebo every third day for six weeks while wearing consumer-grade wearable devices to capture naturalistic sleep and activity data. The trial aimed to provide the first objective assessment of sleep changes associated with a standardised microdosing schedule in an ecologically valid, home-administered setting.

Methods

The study (MDLSD) used a double-blind, parallel-group randomised design. Eighty healthy male volunteers aged 25–60 were randomised 1:1 to receive either LSD (10 µg base) or inactive placebo, administered sublingually via 1 mL oral syringe every third day for six weeks (fourteen doses total). Each participant completed screening, a seven-night baseline run-in, a first dosing visit one week after baseline, and a final follow-up visit scheduled two days after the last microdose (day 42). The trial was prospectively registered. Inclusion required male sex and the age range above; key exclusions included high resting blood pressure, extreme body weight, significant renal or hepatic impairment, unstable medical or neurological conditions, lifetime psychotic or bipolar disorder, current anxiety or eating disorders, suicidality, first-degree relatives with psychotic disorders, substance use disorder, use of psychotropic medication, recent serotonergic psychedelic use, or any lifetime history of psychedelic microdosing. Urine drug screens and breathalyser tests were used to verify abstinence at screening and baseline/first dosing respectively. Participants were provided with Fitbit Charge 3/4 devices and instructed to wear them throughout the trial; the Fitbit app synchronised data via participants' phones. The tracker reports sleep in four states: REM, Deep (N3), Light (N1+N2) and Awake (wake after sleep onset). Two composite variables were computed: Asleep (Deep + Light + REM) and Total (Deep + Light + REM + Awake), the latter approximating polysomnographic total sleep time. The team removed 20 duplicated entries from the Fitbit export and compared Fitbit’s Sleep Summary and Sleep Granular outputs, choosing the summary data because discrepancies were small (mean error ~2.11 minutes, max ~11.37 minutes for REM). Sleep events were assigned to dates using a 9am cut-off to align sleep start times with dosing days; Fitbit’s isMainSleep flag filtered out naps and merged interrupted main sleeps. For statistical inference, linear mixed-effects models were fitted with Group (LSD, placebo) and Day (Dose, Dose+1, Dose+2) as fixed effects and participants as a random effect, focusing on the Group × Day interaction. The baseline average over the seven-night run-in was included as a covariate. Analyses used an intention-to-treat approach (all available data analysed, no imputation for missing nights). The authors note that sleep analyses were exploratory because no pre-specified sleep hypotheses were declared; Bonferroni correction was applied within analyses to control for multiple comparisons.

Results

Eighty participants began the trial; five did not complete protocol (four discontinued for mild anxiety, one for unrelated reasons), and three participants inadvertently received an extra dose due to scheduling issues. After data cleaning, 3,231 nights of sleep data were available for analysis: 503 baseline nights, 935 dosing-day nights, 927 nights the day after dosing (Dose+1), and 866 nights two days after dosing (Dose+2). The mean number of nights contributed per participant was 40.39 (sd = 9.96). Linear mixed-effects models adjusted for baseline showed a pattern of increased time across sleep metrics on the Dose+1 night for the LSD group relative to placebo. After Bonferroni correction (alpha threshold 0.00833 for six comparisons), three outcomes reached significance: REM sleep time (p = 0.0037), Asleep time (p = 0.0026) and Total sleep time (p = 0.0027). These corresponded to an additional 8.13 minutes of REM sleep (95% CI 3.34–12.9), 21.1 minutes of Asleep time (95% CI 8.9–33.2) and 24.3 minutes of Total sleep (95% CI 10.3–38.3) on the night after a microdose in the LSD group versus placebo. Similar results were obtained when the baseline covariate was omitted, and analyses of the granular sleep data produced the same pattern. Analyses of the proportion of time spent in each sleep stage found no changes approaching significance (even at an uncorrected p = 0.05), indicating that absolute increases in sleep duration did not reflect shifts in stage ratios. Activity data comprised 3,842 days (556 baseline, 1,102 dosing days, 1,101 Dose+1 days, 1,083 Dose+2 days) and showed no significant Group × Day interaction effects for activity metrics (calories, distance, steps) or activity-state minutes (sedentary, light, moderate, very active). The LSD group visually appeared to have lower moderate and very active minutes overall, but this pattern was present at baseline and no main effect was detected. Subjective tiredness was collected nightly; the authors previously reported a marginally significant increase in self-reported tiredness on Dose+1 days. Sleep-related adverse events were reported by 10 participants in the LSD group and 4 in the placebo group; this difference was not statistically significant in odds-ratio analyses. Semi-structured interviews identified variable reports of energy changes among LSD participants, with some describing post-dose fatigue and others noting bursts of energy; selected participant quotes appear in supplementary materials.

Discussion

Participants who received 10 µg LSD microdoses showed a statistically significant and clinically meaningful increase in sleep the night after dosing, with an average of 24 additional minutes of total sleep and 8 extra minutes of REM, while no differences were observed on the dosing night itself. The authors interpret the Dose+1 increase as unlikely to be explained by expectancy alone, given the objective nature of the wearable-derived measurements and the null response in the placebo group. Practical implications highlighted include recommending at least one day off between microdoses to allow participants or patients to be well rested before the next dose. The investigators also note that the increase in sleep could plausibly contribute to reported mood benefits of microdosing: sleep disturbances are common in mood disorders, and sleep (including REM) modulates synaptic plasticity, which is implicated in depression. They contrast these effects with conventional antidepressants such as selective serotonin reuptake inhibitors, which often suppress REM and can worsen sleep continuity, suggesting that microdosed LSD might have distinct sleep-related mechanisms if used therapeutically. The authors acknowledge several limitations. Using consumer-grade wearables enabled large-scale, naturalistic data collection (3,231 nights) but constrained measurement: devices do not reliably provide clinical metrics such as sleep or REM onset latency, and their proprietary algorithms are a “black box”. Although meta-analytic comparisons suggest Fitbits are reasonably accurate for sleep duration and staging, they remain inferior to polysomnography. External validity is also limited because the cohort comprised only healthy male participants with relatively homogeneous ethnicity and no mental health or sleep disorders. The study did not include standardised subjective sleep-quality scales, and sleep analyses were exploratory because no pre-specified sleep hypotheses were declared. Finally, the authors note that prior controlled microdosing trials have shown inconsistent physiological effects, though central nervous system penetration of microdoses has been demonstrated with EEG and fMRI in other work. Given these findings and caveats, the investigators argue that objective sleep monitoring should be incorporated into upcoming Phase II trials of LSD microdosing in patients with major depressive disorder to explore clinical relevance and mechanisms further.

Conclusion

The observed increase in total sleep following LSD microdosing provides a compelling rationale to include wearable sleep monitoring in forthcoming Phase II trials of LSD microdosing in major depressive disorder, as the sleep modifications could have clinical and mechanistic implications for potential antidepressant effects.

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RESULTS

The dataset for this study was iniTally available in JSON format and converted to text format using Python for easier manipulaTon and processing. Fitbit separates sleep into 4 states: "REM", "Deep", "Light", and "Awake" where "Light" corresponds to polysomnography stages N1 + N2, "Deep" is stage N3, "REM" is REM sleep and "Awake" is Wake ANer Sleep Onset (WASO). We computed variables "Asleep" as equal to (Deep + Light + REM) and Total as equal to (Deep + Light + REM + Awake) -the laker of which is similar to Total Sleep Time in polysomnography. The Fitbit sleep data was split across two files, presenTng the potenTal for overlapping dates. 20 entries were idenTfied with duplicate informaTon, which were subsequently removed for accuracy. The sleep data, supplied by Fitbit, offered two methods to discern total sleep Tmes: "Sleep Summary" and "Sleep Granular". The Sleep Summary, gives the total Tme in minutes of each sleep state for each sleep. In contrast, the Sleep Granular data provides the duraTon and type of sleep transiTons. An examinaTon was performed of both methods to idenTfy any discrepancies. The difference between the two sets was evaluated using the formula 𝐸𝑟𝑟𝑜𝑟 = ' and 𝐴 and 𝐵 represent data from the summary and granular datasets respecTvely. The analysis revealed a mean error of 2.11 and a maximum error of 11.37 minutes for total REM sleep. Given the relaTvely small error magnitude, we opted to uTlise the summary data for subsequent analysis but analysis of the granular data shows the same pakern of results presented here. It is noteworthy that Fitbit assigns sleep data based on the sleep start date. A cursory assumpTon might suggest that the start sleep date corresponds accurately with the dosing days, but this was not always the case. To ensure accurate sleep date assignment, all sleep start Tmes were ploked, as shown in Figureto determine an appropriate "cut-off" Tme. The graph suggests that an appropriate cut-off Tme would be 9am, which roughly matches up with the expected microdosing Tme, where any sleep events before that would correspond to the previous night. Finally, the sleep data provided by Fitbit consists of a variety of sleep Tmes. The primary interest was in analysing the effects of LSD on sleep and to focus on how it affects a person's main sleep, not any napping. As such, we employed Fitbit's "isMainSleep" flag to filter out nap Tmes. This flag is set to true if the sleep is the main sleep of the day and false if it is a nap. Notably, Fitbit may assign two main sleep periods if the main sleep is interrupted by a significant period of wakefulness, such as a trip to the toilet -these occurrences were merged.

CONCLUSION

In this study it was found that parTcipants in the LSD group had significantly increased sleep Tme compared to parTcipants in the placebo group when they had taken a microdose the previous day, but no differences were found the night of the dose. These differences corresponded to an extra 8 minutes of REM sleep, 21 minutes of asleep Tme and 24 minutes of total sleep Tme the night aNer microdosing with no differences in sleep on the microdosing day itself with parTcipants going to be earlier the night aNer microdosing. There were no differences in the raTo of Tme spent in each sleep stage, nor were there detectable differences in the physical acTvity of parTcipants between the groups or evidence of tolerance/sensiTsaTon. The extra 24 minutes of sleep obtained by parTcipants on the Dose + 1 night is not only a staTsTcally significant difference but a clinically meaningful difference between the two groups, with 20 minutes of sleep speculated to be a clinically meaningful difference in terms of sleep duraTon. PracTcally speaking this result has implicaTons for both the design of therapeuTc microdosing protocols with LSD and their potenTal therapeuTc mechanism of acTon. PragmaTcally, the unexpected finding of the extra sleep required aNer microdosing suggests that it is important for microdosing protocols to have at least one day "off" between doses to ensure that paTents are well rested/recovered before the next microdose is taken. While parTcipants did report being marginally more Tred on the day aNer dosing, in retrospect they did not explicitly menTon requiring more sleep or going to bed earlier suggesTng that these processes might have been occurring covertly. In line with reports from lifestyle users, some parTcipants in this trial did retrospecTvely report some trouble sleeping on dose days, however inspecTon of adverse event data showed that difficulty sleeping was not reported at significantly higher rates than placebo and our objecTve data is consistent with this. This is likely because our home-administraTon dosing protocol required parTcipants to have dosed by 11am to avoid any disrupTons to sleep -a strategy that appears to have been largely successful in this study. Anecdotally, microdosing usershave consistently reported improvements in depressive symptomology. ModificaTons to sleep may be a factor that contributes to that effect. DifficulTes with sleeping are commonly reported in mood disorders such as major depressive disorderand premenstrual dysphoric disorder. Polysomnography studies have shown that paTents with depression show decreases in slow wave sleep, as well shortened REM onset latency and total REM sleep Tme. It has generally thought that sleep difficulTes and depression share a bidirecTonal causal relaTonship -although randomised controlled trials looking at sleep intervenTons to improve depression have only yielded mixed results. SynapTc plasTcity theories of depression propose that depression is characterised by modificaTons of the circuitry underlying corTcal adaptability. Sleep is a well-known modulator of synapTc plasTcityand it is thought that a criTcal funcTon of sleep, parTcularly REM sleep, is to support the formaTon and consolidaTon of new memories. In a large epidemiological study, paTents with depression reported on average 40 minutes less sleep than non-depressed paTents. SpeculaTvely, a candidate therapeuTc mechanism by which microdosing LSD might improve mood is by restoring sleep and promoTng accompanying synapTc plasTcity. In contrast to the current findings with microdosed LSD, most anTdepressants actually suppress REM sleep and first-line treatments for depression such as selecTve serotonin reuptake inhibitors (SSRIS) can actually decrease sleep conTnuity leading to increased levels of insomnia. As such, the potenTal use of microdosed LSD as an anTdepressant may have very different effects on sleep, and therapeuTc effects in paTents with depression than standard anTdepressants. The current study adds to a growing body of knowledge of microdosing. Several studies using uncontrolled microdosing regimens have claimed that most of the anecdotal subjecTve effects of microdosing are probably related to parTcipant expectancy and explainable as placebo effects (F.. Significant effects of microdosing on vital signs have been relaTvely inconsistent in controlled trials, but central nervous system penetraTon of microdoses has been demonstrated mulTple Tmes using EEGand fMRI. To our knowledge this might be the first report of an effect of microdosing on an objecTvely measurable behavioural outcome and its completely unexpected nature is difficult to explain as a placebo/expectaTon effect, parTcularly given the null response in the placebo group data.

Study Details

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