Product Images Dihydroergotamine Mesylate Nasal
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Product Label Images
The following 7 images provide visual information about the product associated with Dihydroergotamine Mesylate Nasal NDC 69097-503 by Cipla Usa Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
The text appears to be a chemical formula and name for a specific substance. "Dinydroergotamine mesylate" is a compound with the molecular formula "C28H37N5O4S". The other text "CH,SOH" may possibly be indicating the chemical groups present in the compound, CH (carbon and hydrogen) and SOH (sulfur, oxygen and hydrogen).*
Estimated probability of patent responding to Hydroergotamine Mesylate Nasal Spray during the four hours following being dosed. Study conducted with 57 participants receiving Hydroergotamine Mesylate Nasal Spray and 100 participants in the placebo group.*
This text reports on a study that estimates the probability of patients using additional treatments for migraines in the 24 hours after receiving Dibydroergotamine mesylate (a spray medication at a 2mg dosage) or a placebo. The study included 30 patients who were administered the Dibydroergotamine mesylate spray and 30 who received the placebo.*
This is a description for a medication called Dihydroergotamine Mesylate Nasal Spray. The text includes the drug name, its concentration (4mg), and the warning that it's for nasal use only and not for injection. It also provides the name of the manufacturer, Cipla USA, Inc. with its address in Wearten, NJ 07059. At the bottom, there is a reference number "Rov. 42020 S21266 Usa", which could be a batch or lot number for quality control. The first line, "Unvarnished Area for Batch overprinting" indicates a possible requirement for a blank space on the packaging for additional printing, such as the aforementioned reference number.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.