АНАЛІЗ НОМЕНКЛАТУРИ СЕДАТИВНИХ ТА СНОДІЙНИХ ПРЕПАРАТІВ В УКРАЇНІ
Notice bibliographique
Résumé
THE ANALYSIS OF NOMENCLATURE OF SEDATIVE AND somnolent DRUGS IN UKRAINE Е.V. Savelyeva, I.N. Vladymyrova National University of Pharmacy, Kharkiv Summary: the assortment of the modern sedative and somnolent drugs presented at the pharmaceutical market of Ukraine has been analyzed. It has been established that pharmaceutical manufactories of Ukraine occupy 76,70 % of market. Synthetic drugs occupy 22,33 % of market, plants drugs – 77,67 %. Monodrugs are presented by drugs of Valeriana officinalis, Paeonia anomala and Leonurus cardiaca. Results in relation to correlation of producing forms prove, that medicinal forms as pills and tincture occupy the largest segments. It established the monotony of species of medicinal plants, which is part of sedative and somnolent drugs. Key words: sedative drugs, somnolent drugs, drugs nomenclature, phytotherapeutic drugs. Introduction. Nervous system diseases can result from a variety of reasons, including stress, violations of the day, inactive lifestyle, prolonged tension etc. Most of the adult population of the planet is experiencing problems with the nervous system. The most common way of life associated with a variety of stressors, and being the main reason of the most nervous disorders. Diseases of the nervous system can take many forms – from headaches to epileptic seizures. But completely eliminate stress from your life virtually impossible. The maximum that we can do is to reduce their number to a minimum. Drugs having a widespread action on neurotransmitters system with complex effect on the etiological factors, pathogenic link and symptomatic manifestations of the disease are used for this purpose. Research methods. This research was conducted by conventional statistical and marketing study of electronic and paper sources. The object of the work was information on sedatives and sleeping pills registered in Ukraine. Results and discussion. In order to study herbal sedatives and sleeping pills, registered in Ukraine, and analysis of medicinal plants species that are part of these medications, the nomenclature of this group of drugs on regional market was examined. According to the ATC classification system, drugs of this segment are represented by following groups: combined drugs of barbiturates; medications that close to benzodiazepines; Melatonin receptor agonists, bromides and dexmedetomidine drugs as well as a group of other sedatives and sleeping pills. The latter group includes drugs based on Valeriana officinalis, Paeonia anomala and Leonurus cardiaca and combined herbal preparations. Analyzing the contribution of each country of origin provided on the domestic pharmaceutical market, it was found that sedatives and hypnotics of Ukrainian pharmaceutical companies occupies 76,70%; Germany - 6,80%; Poland – 2,91%; US, Czech Republic, Slovenia and France – 1,94%; Latvia, Turkey, Canada, Hungary, Finland, Belarus - 0,97%. Analyzing the state of the Ukrainian pharmaceutical market of sedatives and sleeping pills origin was found that synthetic drugs occupy 22,33% of the market and herbal products – 77,67%. Herbal medicines are divided into two groups: mono-drugs and combination herbal product. Mono-drugs are presented by Valeriana, Paeonia and Leonurus drugs. It should be noted the uniformity of dosage forms for this group. When using phytotherapeutic remedies for effective therapy it is important take into account the mechanism of their action and specifics of pharmacological action on human’ body. Conclusions. Analyzing the types of medicinal plants that are present in sedatives and hypnotics, their monotony was established. The perspective in this area can be research of other types of medicinal plants having neurotransmitter action as a source for creating phytotherapeutic agents.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,005 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».