АНАЛІЗ НОМЕНКЛАТУРИ СЕДАТИВНИХ ТА СНОДІЙНИХ ПРЕПАРАТІВ В УКРАЇНІ
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".