DTFT frequency range $$X(e^{j\omega}) = \sum_{n=-\infty}^\infty x[n] e^{-j\omega n} $$ 

The frequency term $\omega$ in DTFT is normalized as $\omega = \frac{\Omega}{f_\mathrm{s}}$

$\Omega= 2 \pi f$ is the angular frequency continuous-time Fourier Transform of $x(t)$.

A continuous-time signal that can be properly sampled will have non-zero energy components in its spectrum having frequency $|f| \lt \frac{f_\mathrm{s}}{2}$ 

Hence the range of $|\omega|$ should lie between $0$ through $\pi$. Given that the spectrum of a discrete time signal repeats every $2\pi$ radians, we should see this spectrum replicated from 0 to $\pi$, $2\pi$ to $3\pi$, $4\pi$ to $5\pi$ and so on.

I can extrapolate this to negative factors of $2\pi$ as well. So the spectra can additionally replicate from $-2\pi$ to $=3\pi$, $-4\pi$ to $-5\pi$ and so on. 

I have however read that the range of $\omega$ is from $-\pi$ to $+\pi$. Where does this come from?
The DTFT is independent of Nyquist sampling. The DTFT is applied to a sequence of numbers regardless of any analog waveform that may be sampled. Economic sequences are often inherently discrete time sequences.  The DTFT applies to aliased sequences as well.

The summation is in general over $n$ from $-\infty$ to $\infty$.  The summation limits can be truncated to the nonzero range of $x[n]$.

The nominal convention as presented in Oppenheim and Schaefer, which they introduce prior to their chapter on Nyquist sampling, is that the DTFT is a continuous valued, periodic function defined uniquely on $-\pi$ to $\pi$ which has a length of $2\pi$. 

For real valued sequences, the interval $-\pi$ to $0$ is conjugate mirrored of the spectrum over $0$ to $\pi$.

In general for complex valued sequences, the mirrored conjugate symmetry can’t be assumed.

$0$ to $\pi$ is only one half of a length $2\pi$ period. 

edit

$-\pi$ to 0 has an image at $\pi$ to $2\pi$ and $3\pi$ to $4\pi$ and ......

0 to $\pi$ has an image from $2\pi$ to $3\pi$ and $4\pi$ to $5\pi$ and ....

similarly for the negative frequencies.