Microdosing For Depression Appears To Work About As Well As Drinking Coffee

An anonymous reader quotes a report from Wired: About a decade ago, many media outlets -- including WIRED -- zeroed in on a weird trend at the intersection of mental health, drug science, and Silicon Valley biohacking: microdosing, or the practice of taking a small amount of a psychedelic drug seeking not full-blown hallucinatory revels but gentler, more stable effects. Typically using psilocybin mushrooms or LSD, the archetypal microdoser sought less melting walls and open-eye kaleidoscopic visuals than boosts in mood and energy, like a gentle spring breeze blowing through the mind. Anecdotal reports pitched microdosing as a kind of psychedelic Swiss Army knife, providing everything from increased focus to a spiked libido and (perhaps most promisingly) lowered reported levels of depression. It was a miracle for many. Others remained wary. Could 5 percent of a dose of acid really do all that?

A new, wide-ranging study by an Australian biopharma company suggests that microdosing's benefits may indeed be drastically overstated -- at least when it comes to addressing symptoms of clinical depression. A Phase 2B trial of 89 adult patients conducted by Melbourne-based MindBio Therapeutics, investigating the effects of microdosing LSD in the treatment of major depressive disorder, found that the psychedelic was actually outperformed by a placebo. Across an eight-week period, symptoms were gauged using the Montgomery-Asberg Depression Rating Scale (MADRS), a widely recognized tool for the clinical evaluation of depression. The study has not yet been published. But MindBio's CEO Justin Hanka recently released the top-line results on his LinkedIn, eager to show that his company was "in front of the curve in microdosing research."

He called it "the most vigorous placebo controlled trial ever performed in microdosing." It found that patients dosed with a small amount of LSD (ranging from 4 to 20g, or micrograms, well below the threshold of a mind-blowing hallucinogenic dose) showed observable upticks in feelings of well-being, but worse MADRS scores, compared to patients given a placebo in the form of a caffeine pill. (Because patients in psychedelic trials typically expect some kind of mind-altering effect, studies are often blinded using so-called "active placebos," like caffeine or methylphenidate, which have their own observable psychoactive properties.) This means, essentially, that a medium-strength cup of coffee may prove more beneficial in treating major depressive disorder than a tiny dose of acid. Good news for habitual caffeine users, perhaps, but less so for researchers (and biopharma startups) counting on the efficacy of psychedelic microdosing. "It's probably a nail in the coffin of using microdosing to treat clinical depression," Hanka says. "It probably improves the way depressed people feel -- just not enough to be clinically significant or statistically meaningful."

Read more of this story at Slashdot.

SecRule REQUEST_URI "@rx ..." "id:1001,phase:1,deny,status:403"

find /var/www -type f -name "*.php" -mmin -120

ss -tunp | grep -E ":(4444|1337|8080|9001)"

apt update && apt --only-upgrade install <pkg>

title: Detect Exploitation - Microdosing For Depression Appears To Work About As Well As Drinking Coffee
id: c1d655a7-ad4b-465a-8148-70cc20f36a07
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access

rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-27"
        description = "YARA Signature for "
    strings:
        $str = "Microdosing For Depression App" ascii wide
    condition:
        any of them
}

index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Microdosing For Depression Appears To Wo")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count

message: "*Microdosing For Depression Appears To Wo*"

CommonSecurityLog
| where Message has "Microdosing For Depression Appears To Wo"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc