Monday, August 10, 2026

 

How psychedelics work





Estonian Research Council

Apical hypercontextualisation leads to increased global distribution of cortical information. 

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Psychedelics amplify the relations between representations. They enhance the impression that information makes and the strength of its connection to everything else. In the brain, increased firing in a subset of layer V pyramidal neurons projecting to the thalamus (in the middle) leads to a broad distribution of the signal into apical dendrites of many cortical regions.

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Credit: Borjan Milinkovic, Karl-Kristjan Kaup





Psychedelics like psilocybin (from magic mushrooms), LSD, DMT and mescaline profoundly alter how we perceive, feel and think. After decades of neglect, they are again the subject of serious scientific inquiry, largely because of their promise for treating depression, anxiety, addiction and other conditions. But this therapeutic promise has run ahead of a more basic understanding: while a great deal of attention has gone to whether psychedelics help treat mental disorders, far less has gone to what they actually do in a general sense — the fundamental way they change perception, thought and consciousness. Only by understanding these basic mechanisms can we ever make sense of the therapeutic effects.

There is also a gap in how that basic question has been approached. Most attempts to explain the mechanisms of psychedelics have been pitched at the level of whole-brain neuroimaging — describing how activity across large networks reorganises during a trip. But neuroimaging only ever captures aggregate activity: the summed behaviour of millions of cells at once, not what the individual neurons, receptors and dendrites underneath are actually doing. 

The aim of the new framework published in Neuroscience & Biobehavioral Reviews is to build the explanation from the bottom up, starting with cellular neurobiology and electrophysiology. Thus, the framework starts with the individual neurons, receptors and dendrites that psychedelics actually act on. This matters because a picture grounded in cells can connect the pharmacology of the drug to the lived experience in a way that network maps alone cannot. From this cellular foundation, the authors argue that psychedelics have a single unifying effect, which is called apical hypercontextualisation.

Almost everything about the effects of psychedelics starts at one receptor: the serotonin 2A receptor, or 5-HT2A. There is near consensus in the field that the bulk of psychedelic effects depend on this receptor. Block it, and the psychedelic effects are blocked; the intensity of the trip even tracks how many of these receptors the drug occupies. Researchers agree on that, but the new framework tries to understand how exactly the effect on receptors is linked to global effects seen at the level of brain imaging or cognition.

Crucially, the 5-HT2A receptor is not scattered randomly in the brain. It is most abundant in the cortex, and especially on one type of cell: the layer V pyramidal neuron. These are large, elaborately branched cells that act as the brain's key integrators and as the main output stream from the cortex to deeper structures. Because of these properties, they have long been considered central to consciousness itself.

Here is the part worth slowing down on. A layer V pyramidal neuron has, in effect, two very different sets of branches, and they do different jobs. The basal dendrites, near the cell body, mostly receive local input — the direct, feature-by-feature "what is right in front of me" signal. The apical dendrites are different. They form a long trunk that reaches up and branches into a tuft in the topmost layer of the cortex, and they gather input from far away: distant cortical regions and the thalamus. That input is not object-based or feature-based — it is contextual and associative.

A useful way to picture the difference is this. The basal branches carry the more direct, local signal of the stimulus as it arrives. But that signal, on its own, means very little. The apical branches supply everything the stimulus is bound up with: the wider setting, memories, expectations, and its links to other things active in the mind. And this is the key idea behind contextualisation — a mental object is not first defined by itself and then related to other things. What it is comes from how it relates. The apical compartment is where those relations live, and it has even been suggested to set the boundaries between one mental object and the next.

And this is exactly where the 5-HT2A receptor sits most densely. The main target of psychedelics is the very part of the neuron responsible for context and relation.

Now we can much better understand what psychedelics do. They tip these neurons toward their apical, context-gathering side. Normally, a layer V neuron fires based on a balance between its direct, local input and its wider contextual input. Psychedelics, acting through the 5-HT2A receptor, weaken the local side and strengthen the contextual side so the cell is driven more by relations and associations than by the raw stimulus in front of it. Because these neurons are among the brain's main output cells, feeding into the thalamus and back out across the cortex, tilting them this way has a large downstream consequence: the contextual signal gets broadcast widely, spreading across many regions instead of staying local. This is exactly what whole-brain neuroimaging has been showing all along — psychedelics make brain activity more global, with normally separate networks talking to each other far more. The contribution of the present framework is to show where that global shift comes from at the level of the cell.

The bigger picture is that psychedelics do not alter the direct neural representation of a stimulus so much as they amplify the relations between representations. They do not enhance the raw sensory information itself; they enhance the impression that information makes and how strongly it connects to everything else. A signal that would normally stay in its lane instead spreads, mingles and gets contextualised by whatever else is active. The boundaries between mental objects loosen.

This one idea ties together the classic features of the psychedelic experience. Visually, it explains why psychedelics can leave a lone stimulus intact but disrupt how stimuli relate — strengthening context-dependent illusions, warping the edges between objects, and impairing moving or complex scenes more than simple static ones. In cognition, it explains the flood of remote associations, metaphorical and dream-like thinking, and unexpected insight — the mind making connections it usually cannot reach. It even accounts for why "set and setting" matter so much: if subtle internal representations are amplified and broadcast, then a person's mindset and surroundings can steer the whole experience.

Grounding psychedelic action in this cellular machinery is an attempt to explain psychedelics in properly neurobiological terms: from the physical, biological material the drugs act on. It links receptor pharmacology, dendritic physiology and lived experience in one framework, and it explains, rather than merely restates, what the neuroimaging has been showing — with direct implications for how these drugs might reset rigid patterns of thought in mental illness. Ultimately, psychedelics do not change what we represent, but how our representations relate to one another.

 

Most comprehensive analysis of health data ever conducted in Estonia shows that more than 60% of adults have at least one chronic condition





Estonian Research Council

Angela Kannukene and Sulev Reisberg 

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Angela Kannukene and Sulev Reisberg

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Credit: Photo taken by Lotte Parksepp





Most comprehensive analysis of health data ever conducted in Estonia shows that more than 60% of adults have at least one chronic condition

More than 60% of adults in Estonia have at least one chronic condition, and 42% are living with at least two chronic conditions. The most comprehensive population-based study conducted to date by researchers of the University of Tartu shows that people with multiple chronic conditions make significantly greater use of healthcare services and face a markedly higher risk of premature death or treatment-related complications than those without chronic conditions. The study is based on the new EST-Health-30 research dataset, which includes health data from nearly one third of Estonia’s population.

The study found that chronic conditions do not affect only older people. Almost half of those living with at least two chronic conditions simultaneously, a situation known as multimorbidity, are of working age.

“Having multiple chronic conditions is often associated with very old age, but our findings show that almost half of multimorbid patients are under the age of 65. This means that chronic conditions affect a large number of people during their working years, and their prevention and early management are essential both for supporting people’s health and for the effective functioning of the healthcare system as a whole,” said Angela Kannukene, a doctoral researcher at the Department of Internal Medicine of the University of Tartu Institute of Clinical Medicine.

The researchers found that the more chronic conditions a person has, the more healthcare services they need. Each additional chronic condition is associated with more outpatient appointments, emergency department visits, hospital admissions and prescription medicines.

However, the impact of multimorbidity is most evident in health outcomes. Compared with people of the same age and sex who have no chronic conditions or only one, individuals with ten or more chronic conditions are more than three times as likely to die within the following five years. They are also two to three times more likely to experience complications related to treatment or medical procedures.

The study also found that the overall prevalence of chronic conditions has remained relatively stable in recent years, although diagnoses of obesity have become more common. According to researchers, this finding should be interpreted with caution, as the increase may reflect not only the actual prevalence of obesity but also the fact that, owing to new treatment options, it is now diagnosed and documented more frequently than in the past.

This comprehensive overview was made possible by the new EST-Health-30 research dataset, which combines electronic health records, prescription data, treatment bills submitted to the Health Insurance Fund, and data from the Cancer Registry and the Causes of Death Register.

According to Sulev Reisberg, Research Fellow of Health Informatics at the University of Tartu Institute of Computer Science, the dataset enabled a deeper study of the prevalence of chronic conditions than before. “EST-Health-30 has given us the first opportunity to monitor the prevalence of chronic conditions across the entire population in such detail and to investigate how diseases develop over time and what impact they have on individuals and the healthcare system. This research infrastructure provides a foundation for many new studies and helps support more evidence-based decision-making in healthcare,” said Reisberg.

The dataset covers a randomly selected 30% of Estonia’s population, amounting to nearly 510,000 people. All data have been converted to the international OMOP standard format, enabling Estonian researchers to use the same research methods as leading health research centres worldwide and to participate in international collaborative projects. The dataset is updated annually, making it possible to monitor long-term changes in the health of Estonia’s population and in the use of healthcare services.

EST-Health-30 forms part of the activities of the TeamPerMed Centre for Data-Enriched Personalised Medicine, whose aim is to advance the implementation of personalised medicine in Estonia by bringing together clinical practice, genomics, IT, and the social and economic sciences.

 

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Green analytical chemistry and metrics for sustainable pharmaceuticals: A comprehensive review



Why pharmaceutical analysis has an environmental problem


Bentham Science Publishers





The study, "Green Analytical Chemistry and Metrics for Sustainable Pharmaceuticals: A Comprehensive Review," was carried out by K. Archana, G. Vigneshwaran, and M. Sumithra in the Journal of Current Topics in Chemistry.

A new comprehensive review maps twenty years of progress in green analytical chemistry, critically evaluates the tools currently used to measure how environmentally sound a pharmaceutical testing method is, and makes the case that no single tool is sufficient — calling instead for an integrated multi-metric approach that covers the full environmental, safety, and resource footprint of analytical practice in the pharmaceutical industry.


Why Pharmaceutical Analysis Has an Environmental Problem

Every stage of a pharmaceutical product's life — from testing raw ingredients through to quality-checking the finished tablet or injection — depends on analytical chemistry. These tests are not optional; they underpin drug safety, regulatory compliance, and batch release decisions. Yet the laboratory practices behind them have historically been resource-heavy and environmentally costly. Many conventional analytical methods rely on large volumes of hazardous organic solvents, generate significant quantities of chemical waste, and consume substantial energy. For an industry that operates at global scale and runs these tests continuously, the cumulative environmental impact is considerable. Green Analytical Chemistry (GAC) — a branch of the broader green chemistry framework first articulated by Paul Anastas — has emerged as the field's answer to this problem, applying the principles of sustainability directly to how analytical measurements are designed and carried out, rather than only to the synthesis of chemical compounds.


Two Decades of Green Metrics: What Has Been Built and How Well Does It Work

The central contribution of this review is a structured, critical comparison of the measurement tools that have been developed over the past twenty years to assess how "green" an analytical method actually is. The authors examine a range of established metrics — including NEMI, Eco-Scale, GSST, HPLC-EAT, AMVI, GAPI, and AGREE — alongside newer entrants such as the PMI-LCA framework, the RGB 12 Algorithm, and the NQS Index, assessing each based on its scope, methodology, and practical usability in a pharmaceutical context.

The review traces a clear generational shift in how these tools work. Earlier instruments relied primarily on qualitative pictograms—colour-coded visual indicators that flag whether a method uses hazardous reagents or generates problematic waste, but offer no numerical basis for comparison between methods. More recent second-generation metrics move toward quantitative, multi-criteria scoring frameworks that attempt to weigh environmental impact, analytical performance, and operational practicality together on a single scale, making them more informative but also more complex to apply. The authors find that while this evolution represents genuine progress, significant gaps remain. Most current tools provide only partial lifecycle coverage, meaning they capture environmental impacts at certain points in the analytical process but not across the entire lifecycle. There is also no standardised scoring convention shared across tools, which means that the same method evaluated with different metrics can produce different conclusions. This problem complicates both regulatory interpretation and cross-study comparison. A further limitation identified is the near-absence of digital integration and computational or machine-learning-enhanced features, which restricts the ability of these tools to support automated method screening or predictive environmental assessment.


The Case for an Integrated Toolbox — and What Needs to Happen Next

The review's central argument is that the field has reached a point where relying on any single greenness metric is no longer defensible. Each existing tool captures a different slice of what it means for an analytical method to be sustainable—some focus on solvent hazard, others on waste generation, energy consumption, or operator safety—and none covers all of these dimensions comprehensively on its own. The authors propose that a genuinely robust assessment framework must integrate multiple complementary metrics into a unified toolbox, one capable of evaluating analytical sustainability across environmental, occupational safety, and resource efficiency dimensions simultaneously. This would not only produce more reliable and comparable assessments, but would also give pharmaceutical laboratories a clearer, more actionable picture of where their methods fall short and how to improve them. The authors identify the development of standardised scoring conventions, the extension of lifecycle coverage to encompass the full analytical workflow, and the incorporation of digital and computationally assisted evaluation capabilities as the three most pressing priorities for the next phase of green analytical chemistry research. Corresponding author Dr. K. Archana and co-authors G. Vigneshwaran and M. Sumithra position this review as a foundation for that work, offering the pharmaceutical analysis community a consolidated reference point from which more integrated and rigorous sustainability assessment can be built.


Article title: Green Analytical Chemistry and Metrics for Sustainable Pharmaceuticals: A Comprehensive Review

DOI: 10.2174/0129504023449165260615103853

Read the published article here: https://bit.ly/4yAuLzX

 

Orange County residents say the American Dream is slipping away



Latest UCI-OC Poll finds rising costs are reshaping how people live their lives




University of California - Irvine






Nine out of 10 Orange County residents — Republicans and Democrats, renters and homeowners, rich and poor — agree on at least one thing: buying a home is harder today than it was for their parents. The latest UCI-OC Poll suggests that’s just the beginning of the problem.

The poll, conducted by UC Irvine’s School of Social Ecology, surveyed 809 Orange County adults from June 9-12 and found residents evenly divided over whether the American Dream remains achievable in the county:

  • 45% say it is still attainable and

  • 45% say it once was, but no longer is.

“What’s striking here is that residents haven’t given up on the American Dream itself,” said Jon Gould, dean of the School of Social Ecology and director of the UCI-OC Poll. “What they’re questioning is whether Orange County can still be the place where that dream becomes real.”

That finding stands in contrast to a 2024 national survey in which 53% of Americans said the American Dream was still achievable, suggesting Orange County residents are more pessimistic than the country at large, despite living in one of the nation’s wealthiest regions, Gould noted.

Part of the complexity, the poll suggests, is that residents don't agree on what the American Dream actually means. 

  • About 28% define it as financial security and stability. 

  • Another 22% describe it as owning a home and raising a family, and 

  • an equal 22% emphasize freedom and personal independence. 

Generational differences:

  • Gen Z residents, at 38%, are far more likely than any other age group to define the American Dream through the lens of freedom and personal independence, compared with 11% who mention homeownership and family. 

  • Millennials and Gen X residents, by contrast, most often define the Dream by homeownership and raising a family, at 30% and 32%, respectively. 

  • Boomers prioritize financial security above all else.

“These generational differences tell us something important,” Gould said. “Younger residents may be redefining the Dream precisely because the traditional version — the house, the family, the stable career — feels out of reach.”

Whatever their definition, residents largely agree that achieving the Dream has become harder. 

  • Nearly seven in ten (69%) say hard work alone is no longer sufficient to afford a home and raise a family. 

  • When asked to compare today’s conditions to those faced by previous generations: 93% say buying a home is harder now, 79% say the same about raising a family and 70% say obtaining a good job has become more difficult.

Homeownership stands in a category by itself. 

  • Nearly six in 10 residents (57%) say Orange County’s cost of living has caused them to delay or scale back at least one major life decision — buying a home, getting married, having children or changing careers. And, more than a third say they have postponed multiple milestones.

  • 76% of Millennials report delaying or scaling back major decisions because of costs, compared with 36% of Boomers.

Despite their concerns, residents have not given up on Orange County. 

  • When asked whether they would encourage a young adult to build a future in the county, 67% said yes — though nearly half of those would do so with reservations about costs and opportunities. Only 19% would encourage it without reservation.

  • At the same time, more residents believe the county’s best years are behind it (45%) than ahead (32%).

“It’s a complicated kind of loyalty,” Gould said. “People love this place, they want to stay and they want the next generation to have what they had. But, they’re also clear-eyed about the fact that it’s getting harder.”


 

Researchers trace solar outbursts that led to historic Mother’s Day storms



University of Iowa-led team details how 10 solar eruptions merged to create an intense magnetic cloud




University of Iowa

Solar Blast 

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Physicists captured a string of 10 coronal mass ejections from the sun (white dot) and tracked how they merged on their journey to Earth (blue dot) that resulted in the Mother's Day 2024 geomagnetic storms that produced aurora that may have been the strongest in the past 500 years. 

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Credit: Shirsh Soni, University of Iowa





On Mother’s Day weekend in May 2024, Earth experienced its most powerful geomagnetic storm in two decades, spawning auroras — the ribbony bands of light in the nighttime skies in the Northern and Southern hemispheres — that may have been among the strongest displays on record in the past 500 years.

In a new study, space physicists led by the University of Iowa report the most detailed account to date about a string of eruptions on the sun that produced the Mother’s Day storms on Earth.

The researchers found that the geomagnetic storms’ strength was caused by 10 coronal mass ejections — fiery eruptions from the sun’s surface that fling charged particles into space — occurring over four days. During that time, several of the earliest solar outbursts merged, expanding the magnetic cloud as it journeyed toward Earth. Later solar explosions produced their own magnetic clouds that caught up with and pushed the original, consolidated cloud, further expanding its size and strength. 

That oversized, supercharged cloud then collided with Earth’s magnetic shield, or magnetosphere, spawning the intense storms and auroras that could be seen as far away as Mississippi, the Himalayas, northern Italy, and Queensland, Australia.

“We haven’t seen any case at least with current observation and simulation techniques where we have 10 coronal mass ejections that erupted and merged together,” says Shirsh Soni, postdoctoral research fellow in the Department of Physics and Astronomy at Iowa and the study’s corresponding author. “This was unique.”

The solar eruptions that led to the geomagnetic storms on Earth occurred during solar maximum, a natural stage of the roughly 11-year cycle in which the sun transitions between low and high magnetic activity. Scientists believe the sun is about to enter a declining activity phase.

Eventually, though, the sun will enter an active phase, and work from Soni and computational modeling from researchers at the University of Leuven in Belgium could help identify the effects of solar outbursts before they arrive at our planet.

“Our study is important because most of the space weather models we have are for individual eruptions,” Soni explains. “Now we know about interacting coronal mass ejections and the effects these merged clouds can have on Earth, and that is very important to understand to create more accurate space weather forecasts.”

The researchers unspooled the solar outbursts through plasma and magnetic field data captured by the Wind instrument, which measures the solar wind — the continual stream of charged particles from the sun — near where it impacts Earth’s magnetic shield. 

Data from Wind showed four magnetic clouds passing by, which is one reason why physicists originally had surmised there were fewer solar eruptions. But Soni’s team saw in the data that the solar wind speed after the clouds had passed was more than twice the typical velocity. The team theorized this was because there had been more undocumented eruptions on the sun.

The researchers employed advanced modeling and simulations of the sun’s surface activity to document that there were 10 coronal mass ejections.

“We wanted to produce the entire picture,” Soni says.

That picture revealed some key insights:

  • Magnetic clouds from the first seven coronal mass ejections merged after erupting from the sun.
  • Two subsequent coronal mass ejections merged with each other and caught up with the original cloud.
  • The final coronal mass ejection produced a cloud that traveled initially at an eye-popping speed of nearly 1,000 miles per second before colliding with the aggregated magnetic cloud and pushing that cloud toward Earth.

This unusual chain of events spawned the geomagnetic storm on Earth “that was super intense,” Soni says.

The study, “Comprehensive MHD modelling of ten successive CMEs driving a historic geomagnetic storm — the 2024 Mother’s Day event,” was published online Aug. 5 in the Astrophysical Journal.

Contributing authors are Anwesha Maharana, from the Centre for Mathematical Plasma Astrophysics, in Leuven, Belgium; Sanchita Pal, from Indian Institute of Technology Roorkee, in Uttarakhand, India; and Stefaan Poedts, from the Centre for Mathematical Plasma Astrophysics and the University of Maria Curie-Sklodowska, in Lublin, Poland.

The European Union funded the research, through grants to Maharana and Poedts.


Mother's Day Show 

Physicists captured a string of 10 coronal mass ejections and tracked how they merged on their journey to Earth that triggered the Mother's Day 2024 geomagnetic storms. The image from left to right shows each of the solar outbursts and their progression over time as they moved toward Earth.

Credit

Shirsh Soni, University of Iowa