We have $O(f(x)) O(g(x)) = O(f(x) g(x))$. In words: a function that is at most a constant times $f(x)$, multiplied by a function that is at most a constant times $g(x)$, is at most a constant times $f(x) g(x)$. (We assume that $f$ and $g$ are positive functions, so that we can say "at most" instead of "in absolute value at most".)
(Note that when dealing with $O$ notation, the "$=$" sign is like the English "is", and is not necessarily symmetric: if you wish, you can view each side as the set of functions of that type, and replace the "$=$" with "$\subset$". But in this case it's also true that $O(f(x) g(x)) = O(f(x)) O(g(x))$.)
Also we have $$g(x) = \Omega(h(x)) \iff \frac{1}{g(x)} = O\left(\frac{1}{h(x)}\right)$$
(again, assuming the functions are positive, etc.)
So the right statement is that
$$\frac{O(f(x))}{\Omega(g(x))} = O\left(\frac{f(x)}{g(x)} \right)$$
in your case, what matters is not that $2x + 1 = O(x)$, but that $2x + 1 = \Omega(x)$.
That it is also true with $\Theta$ is a corollary.