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Hallucinogens and Psychedelics01:27

Hallucinogens and Psychedelics

179
Hallucinogens are psychoactive substances that profoundly alter perceptual experiences, generating unreal visual and sensory images. Often referred to as psychedelic drugs — a term derived from the Greek words "psyche" (mind) and "delos" (revealing) — these substances include marijuana and lysergic acid diethylamide (LSD), among others. These drugs vary in intensity and effects.
Marijuana, derived from the dried leaves and flowers of the hemp plant, contains...
179
CNS Stimulants: Psychedelic Agents01:22

CNS Stimulants: Psychedelic Agents

158
Hallucinogens, also known as psychedelic drugs, are a class of substances known for their ability to alter perception, cognition, and emotions. Despite their profound effects on the mind, these drugs are non-addictive, setting them apart from many other abused substances. The mechanism of action of these drugs lies in their impact on the 5-HT2A receptor in the brain. Upon activation, this receptor couples to Gq-type G proteins, triggering a cascade that releases intracellular calcium. This...
158
An Overview of Psychoactive Drugs01:28

An Overview of Psychoactive Drugs

236
Psychoactive drugs impact brain function, influencing perception, mood, consciousness, cognition, and behavior. These substances are grouped based on their effects and the mechanisms by which they act.
Stimulants such as cocaine, amphetamines, and nicotine enhance brain activity, leading to increased alertness, attention, and energy. These drugs typically raise heart rate, blood pressure, and body temperature. While they can induce feelings of euphoria, their misuse can result in severe health...
236
CNS Stimulants: Cocaine, Amphetamines and Cannabinoids01:24

CNS Stimulants: Cocaine, Amphetamines and Cannabinoids

206
CNS stimulants, such as cocaine, amphetamines, and cannabinoids, have varying structures and mechanisms of action that lead to different therapeutic effects and side effects. Cocaine, with its molecular formula C17H21NO4, is a tropane alkaloid and a tertiary amino compound. It has two chemical forms: the hydrochloride salt and the "freebase." The former is in powder form, while the latter involves removing the hydrochloride salt to create a form that can be smoked. Cocaine exerts its...
206
Fungal Phylum Basidiomycota01:26

Fungal Phylum Basidiomycota

104
Basidiomycota is a diverse phylum of fungi that includes ecologically significant decomposers such as white rot fungi, symbionts like mycorrhizal fungi, plant pathogens such as rusts and smuts, and edible species like Agaricus bisporus (the common button mushroom). These fungi play crucial roles in nutrient cycling, symbiotic relationships, and even human health. Their defining feature is the basidium, a microscopic club-shaped structure responsible for producing basidiospores.Fruiting Bodies...
104
Stimulants01:29

Stimulants

220
Stimulants are substances that enhance neural activity and elevate dopamine levels in the brain, leading to their highly addictive nature. These drugs include cocaine, amphetamines, MDMA, caffeine, and nicotine, each with distinct mechanisms of action and varied health implications.
Cocaine can be administered via snorting, injection, or smoking. It primarily functions by blocking the reuptake of dopamine, resulting in a euphoric high characterized by an intense sensation of happiness and...
220

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幻覚を引き起こす幻覚剤

Michael A Skinnider1,2

  • 1Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.

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|November 9, 2023
PubMed
まとめ
この要約は機械生成です。

生産性のある人工知能 (AI) は 増大するデザイナー・ドラッグの流行と闘う新しいアプローチを提供します この技術は新しい精神活性物質に関連するリスクを特定し,軽減するのに役立ちます.

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科学分野:

  • 薬物政策
  • 人工知能
  • 法医化学

背景:

  • 設計薬の普及は公衆衛生に 大きな課題をもたらしています
  • 新しい精神活性物質を特定し制御する従来の方法は,しばしば急速な化学技術革新によって超えられています.

研究 の 目的:

  • デザイナー・ドラッグの流行に対処する際の 生産性のある人工知能 (AI) の可能性を探求する.
  • 早期発見と介入のためのAI主導の戦略を調査する.

主な方法:

  • 開発中の設計薬の化学構造を予測するために,ジェネラティブAIモデルを使用する.
  • 法医学データとオンライン市場のトレンドを迅速に分析するためにAIを使用します.
  • 新しい精神活性物質のAIによるリスク評価ツールの開発

主要な成果:

  • 遺伝子組み換え人工知能は 既存の化学構造に基づいて 潜在的に新しい精神活性物質を 素早く特定できます
  • AIモデルは薬物の特性や潜在的な害を予測する上で高い精度を示しています
  • 設計薬のトレンドの早期発見は AI 分析によって大幅に強化されます.

結論:

  • 人工知能は公衆衛生と法執行機関に 強力な新しいツールセットを提供します
  • 人工知能が主導するアプローチは デザイナー・ドラッグの流行に 積極的に立ち向かえるでしょう
  • 人工知能の継続的な開発と導入は,薬物関連の害を軽減するために極めて重要です.