Product Images Zomig
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Zomig NDC 68258-7103 by Dispensing Solutions, 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.
NDC 68258-7103-03 - NDC 68258 7103 03 Astrazeneca
This is a description of a medication called Zomig, which comes in a pink, round, biconvex, film-coated tablet. The medication contains Zolmitriptan (0.5mg), should be taken orally at the onset of a migraine and can be repeated after two hours, or as directed by a physician. The medication should be kept out of children's reach, stored at 68°-77°F and must be dispensed in a tight/light resistant container. The text also contains information about its lot number, its product ID, NDC, and its manufacturer, and it is packaged exclusively by Dispensing Solution.*
figure four - zomig figfive
figure three - zomig figfour
This is a graph showing the estimated probability of response over time after an initial dose. The graph displays percentages ranging from 0% to 100% and time intervals from 0.05 hours to 2 hours. There are also two labels on the graph for different substances, "ZomcZMT 25 NG" and "Phceno".*
chemical structure - zomig figone
figure two - zomig figthree
This is a graph showing the estimated probability of remedication or rescue over time, after taking different doses of an unknown medication. The doses shown are 1mg, 2.5mg, and 5mg. The x-axis shows the time in hours from the initial dose, and the y-axis shows the probability of needing further medication to relieve symptoms. The highest probability shown is 100% and the lowest is 0%. The information regarding the type or nature of the medication is not available.*
figure one - zomig figtwo
* 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.